1-1 |
UCMerced LandUse |
图像分类 |
256 * 256 |
3 |
2100 |
21 |
tif |
folder name |
0.3m |
__ |
卫星影像 |
USGS National Map |
2010 |
University of California, Merced |
http://weegee.vision.ucmerced.edu/datasets/landuse.html |
https://aistudio.baidu.com/aistudio/datasetdetail/51628 |
1-2 |
WHU RS19 |
图像分类 |
600 * 600 |
3 |
1005 |
19 |
jpg |
folder name |
最高0.5m |
__ |
卫星影像 |
GoogleEarth |
2012 |
武汉大学 |
http://captain.whu.edu.cn/repository.html |
https://aistudio.baidu.com/aistudio/datasetdetail/51733 |
1-3 |
RSSCN7 |
图像分类 |
400 * 400 |
3 |
2800 |
7 |
jpg |
folder name |
__ |
__ |
卫星影像 |
GoogleEarth |
2015 |
武汉大学 |
https://sites.google.com/site/qinzoucn/documents |
https://aistudio.baidu.com/aistudio/datasetdetail/52117 |
1-4 |
RS_C11 |
图像分类 |
512 * 512 |
3 |
1232 |
11 |
tif |
folder name |
0.2m |
__ |
卫星影像 |
GoogleEarth |
2016 |
中科院 |
https://www.researchgate.net/publication/271647282_RS_C11_Database/comments |
https://aistudio.baidu.com/aistudio/datasetdetail/52227 |
1-5 |
NWPU RESISC45 |
图像分类 |
256 * 256 |
3 |
31500 |
45 |
jpg |
folder name |
0.2~ 30m |
__ |
卫星影像 |
GoogleEarth |
2016 |
西北工业大学 |
https://gcheng-nwpu.github.io/#Datasets |
https://aistudio.baidu.com/aistudio/datasetdetail/51873 |
1-6 |
AID |
图像分类 |
600 * 600 |
3 |
10000 |
30 |
jpg |
folder name |
0.5~ 8m |
__ |
卫星影像 |
GoogleEarth |
2017 |
武汉大学 |
https://captain-whu.github.io/AID/ |
https://aistudio.baidu.com/aistudio/datasetdetail/52025 |
1-7 |
RSD46 WHU |
图像分类 |
256 * 256 |
3 |
117000 |
46 |
png |
folder name |
0.5~ 2m |
__ |
卫星影像 |
GoogleEarth, Tianditu |
2017 |
武汉大学 |
https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU |
https://aistudio.baidu.com/aistudio/datasetdetail/52359 |
1-8 |
GID |
图像分类 |
56 * 56 |
3、4 |
30000 |
15 |
tif |
folder name |
__ |
__ |
卫星影像 |
GF2 |
2018 |
武汉大学 |
https://x-ytong.github.io/project/GID.html |
https://aistudio.baidu.com/aistudio/datasetdetail/55324 |
1-9 |
PatternNet |
图像分类 |
256 * 256 |
3 |
30400 |
38 |
jpg |
folder name |
0.062~ 4.693m |
__ |
卫星影像 |
GoogleMap |
2018 |
武汉大学 |
https://sites.google.com/view/zhouwx/dataset#h.p_Tgef10WTuEFr |
https://aistudio.baidu.com/aistudio/datasetdetail/52411 |
1-10 |
Satellite Images of Hurricane Damage |
图像分类 |
128 * 128 |
3 |
23000 |
2 |
jpeg |
folder name |
__ |
__ |
卫星影像 |
GeoEye1等 |
2018 |
University of Washington |
https://ieee-dataport.org/open-access/detecting-damaged-buildings-post-hurricane-satellite-imagery-based-customized |
https://aistudio.baidu.com/aistudio/datasetdetail/88155 |
1-11 |
How to make high resolution remote sensing image dataset |
图像分类 |
256 * 256 |
3 |
533 |
5 |
jpg |
folder name |
2.38866m |
__ |
卫星影像 |
GoogleEarth |
2018 |
__ |
https://blog.csdn.net/u012193416/article/details/79472533 |
https://aistudio.baidu.com/aistudio/datasetdetail/88597 |
1-12 |
EuroSAT |
图像分类 |
64 * 64 |
3、13 |
27000 |
10 |
jpg, tif |
folder name |
10m |
__ |
卫星影像 |
Sentinel2 |
2018 |
德国凯泽斯劳滕大学 |
https://github.com/phelber/eurosat |
https://aistudio.baidu.com/aistudio/datasetdetail/52650 |
1-13 |
HistAerial Dataset |
图像分类 |
25 * 25, 50 * 50 , 100 * 100 |
1 |
42000 |
7 |
png |
folder name |
__ |
__ |
航拍影像 |
航拍影像 |
2019 |
Univ Lyon |
http://eidolon.univ-lyon2.fr/~remi1/HistAerialDataset/ |
https://aistudio.baidu.com/aistudio/datasetdetail/135146 |
1-14 |
OPTIMAL 31 |
图像分类 |
256 * 256 |
3 |
1860 |
31 |
jpg |
folder name |
__ |
__ |
卫星影像 |
GoogleEarth |
2019 |
西北工业大学 |
http://crabwq.github.io/ |
https://aistudio.baidu.com/aistudio/datasetdetail/51798 |
1-15 |
WiDSDatathon2019 |
图像分类 |
256 * 256 |
3 |
11000 |
2 |
jpg |
csv |
3m |
__ |
卫星影像 |
Planet |
2019 |
Stanford |
https://www.kaggle.com/c/widsdatathon2019/data |
https://aistudio.baidu.com/aistudio/datasetdetail/76927 |
1-16 |
CLRS |
图像分类 |
256 * 256 |
3 |
15000 |
25 |
tif |
folder name |
0.26~ 8.85m |
__ |
卫星影像 |
GoogleEarth, BingMap, GoogleMap, Tianditu |
2020 |
中南大学 |
https://github.com/lehaifeng/CLRS |
https://aistudio.baidu.com/aistudio/datasetdetail/76417 |
1-17 |
SenseEarth Classify |
图像分类 |
100 * 100~12655 * 12655 |
3 |
70000 |
51 |
jpg |
txt |
0.2~ 153m |
__ |
卫星影像 |
GoogleEarth |
2020 |
商汤科技 |
https://rs.sensetime.com/competition/index.html#/info |
https://aistudio.baidu.com/aistudio/datasetdetail/52728 |
1-18 |
TG1HRSSC |
图像分类 |
512 * 512 |
1、54、52 |
204 |
9 |
tif |
folder name |
5m, 10m, 20m, |
0.4~ 2.5μm |
卫星影像 |
天宫一号 |
2021 |
中国科学院空间应用工程与技术中心 |
http://www.msadc.cn/main/setsubDetail?id=1369487569196158978 |
https://aistudio.baidu.com/aistudio/datasetdetail/86229 |
1-19 |
NaSC TG2 |
图像分类 |
128 * 128 |
3、14 |
20000 |
10 |
jpg, tif |
folder name |
__ |
0.40~ 1.04µm |
卫星影像 |
天宫二号 |
2021 |
中国科学院空间应用工程与技术中心 |
http://www.msadc.cn/main/setsubDetail?id=1370312964720037889 |
https://aistudio.baidu.com/aistudio/datasetdetail/86451 |
1-20 |
S2UC Dataset |
图像分类 |
224 * 224 |
3 |
1714 |
2 |
npy |
npy |
__ |
__ |
卫星影像 |
GoogleEarth |
2021 |
__ |
https://www.scidb.cn/en/detail?dataSetId=14e27d8c51ec40079b84591e9bb24df6 |
https://aistudio.baidu.com/aistudio/datasetdetail/139361 |
1-21 |
SAT 4 |
图像分类 |
28 * 28 |
4 |
500000 |
4 |
mat |
mat |
1~ 6m |
__ |
卫星影像 |
NAIPdataset |
2015 |
路易斯安那州立大学 |
http://csc.lsu.edu/~saikat/deepsat/ |
https://aistudio.baidu.com/aistudio/datasetdetail/52534 |
1-22 |
SAT 6 |
图像分类 |
28 * 28 |
4 |
405000 |
6 |
mat |
mat |
1~ 6m |
__ |
卫星影像 |
NAIPdataset |
2015 |
路易斯安那州立大学 |
http://csc.lsu.edu/~saikat/deepsat/ |
https://aistudio.baidu.com/aistudio/datasetdetail/52534 |
1-23 |
SIRI WHU google |
图像分类 |
200 * 200 |
3 |
3400 |
12 |
tif, dat |
folder name |
2m |
__ |
卫星影像 |
GoogleEarth |
2016 |
武汉大学 |
http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html |
https://aistudio.baidu.com/aistudio/datasetdetail/51921 |
1-24 |
SIRI WHU USGS |
图像分类 |
10000 * 9000 |
3 |
1 |
4 |
tif |
folder name |
2foot |
__ |
卫星影像 |
USGS |
2016 |
武汉大学 |
http://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html |
https://aistudio.baidu.com/aistudio/datasetdetail/51921 |
1-25 |
RSI CB128 |
图像分类 |
256 * 256 |
3 |
36000 |
45 |
tif |
folder name |
0.3~ 3m |
__ |
卫星影像 |
GoogleEarth, BingMap |
2017 |
中南大学 |
https://github.com/lehaifeng/RSI-CB |
https://aistudio.baidu.com/aistudio/datasetdetail/52487 |
1-26 |
RSI CB256 |
图像分类 |
256 * 256 |
3 |
24000 |
35 |
tif |
folder name |
0.3~ 3m |
__ |
卫星影像 |
GoogleEarth, BingMap |
2017 |
中南大学 |
https://github.com/lehaifeng/RSI-CB |
https://aistudio.baidu.com/aistudio/datasetdetail/52487 |
1-27 |
Multi View Datasets CV BrCT |
图像分类 |
500 * 475 |
3 |
48342 |
8 |
png, tif |
folder name |
__ |
__ |
航拍影像、卫星影像 |
航拍影像, 卫星影像 |
2020 |
Federal University of Minas Gerais |
http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ |
https://aistudio.baidu.com/aistudio/datasetdetail/58013 |
1-28 |
Multi View Datasets AiRound |
图像分类 |
500 * 475 |
3 |
13980 |
11 |
tif |
folder name |
__ |
__ |
卫星影像 |
Sentinel2等 |
2020 |
Federal University of Minas Gerais |
http://www.patreo.dcc.ufmg.br/2020/07/22/multi-view-datasets/ |
https://aistudio.baidu.com/aistudio/datasetdetail/58760 |
1-29 |
braziliancoffeescenes |
图像分类 |
64 * 64 |
3 |
2876 |
__ |
__ |
__ |
__ |
__ |
卫星影像 |
SPOT传感器 |
2015 |
米纳斯联邦大学 |
http://patreo.dcc.ufmg.br/2017/11/12/brazilian-coffee-scenes-dataset |
|
1-30 |
Planet: Understanding the Amazon from Space |
图像分类 |
256 * 256 |
3、4 |
40480 |
__ |
__ |
__ |
3m |
__ |
卫星影像 |
plant传感器 |
2017 |
Planet |
https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data |
|
1-31 |
rscupcls |
图像分类 |
512 * 512 |
3 |
197121 |
45 |
jpg |
folder name |
__ |
__ |
__ |
__ |
2019 |
__ |
http://rscup.bjxintong.com.cn/#/theme/1 |
|
1-32 |
MSTAR |
图像分类 |
368 * 368 |
1 |
9466 |
8 |
jpg |
folder name |
0.3m |
__ |
SAR |
STARLOSSAR |
1996 |
Defense Advanced Research Projects Agency |
https://www.kaggle.com/atreyamajumdar/mstar-dataset-8-classes |
https://aistudio.baidu.com/aistudio/datasetdetail/78849 |
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
2-1 |
TAS |
目标检测 |
792 * 636 |
3 |
30 |
1 |
.m |
HBB |
__ |
__ |
卫星影像 |
GoogleEarth |
2008 |
斯坦福大学 |
http://ai.stanford.edu/~gaheitz/Research/TAS/ |
https://aistudio.baidu.com/aistudio/datasetdetail/53806 |
2-2 |
OIRDS |
目标检测 |
256 * 256~640 * 640 |
3 |
900 |
5 |
tif |
OBB |
0.15m |
__ |
卫星影像 |
USGS, DARPA, VIVID |
2009 |
雷神公司 |
https://sourceforge.net/projects/oirds/ |
https://aistudio.baidu.com/aistudio/datasetdetail/53461 |
2-3 |
SZTAKI INRIA Building Detection Benchmark |
目标检测 |
700± * 700± |
3 |
9 |
1 |
jpg |
OBB |
__ |
__ |
航拍影像、卫星影像 |
航拍影像, 卫星影像 |
2012 |
MTASZTAKI |
http://web.eee.sztaki.hu/remotesensing/building_benchmark.html |
https://aistudio.baidu.com/aistudio/datasetdetail/77674 |
2-4 |
UCAS_AOD |
目标检测 |
1000± * 1000± |
3 |
976 |
2 |
png |
OBB |
__ |
__ |
航拍影像 |
GoogleEarth |
2014 |
中科院 |
https://onedrive.hyper.ai/home/UCAS-AOD |
https://aistudio.baidu.com/aistudio/datasetdetail/53318 |
2-5 |
NWPUVHR 10 |
目标检测 |
500 * 500~1100 * 1100 |
3 |
1510 |
10 |
jpg |
HBB |
0.08~ 2m |
__ |
卫星影像 |
GoogleEarth, Vaihingen |
2014 |
西北工业大学 |
https://gcheng-nwpu.github.io/#Datasets |
https://aistudio.baidu.com/aistudio/datasetdetail/52812 |
2-6 |
VEDAI |
目标检测 |
512 * 512~1024 * 1024 |
4 |
1210 |
9 |
png |
OBB |
0.125m |
__ |
卫星影像 |
UtahAGRC |
2015 |
卡昂大学 |
https://downloads.greyc.fr/vedai/ |
https://aistudio.baidu.com/aistudio/datasetdetail/53383 |
2-7 |
HRSC2016 |
目标检测 |
1100± * 1100± |
3 |
1061 |
27 |
png |
OBB |
__ |
__ |
卫星影像 |
GoogleEarth |
2016 |
西北工业大学 |
https://sites.google.com/site/hrsc2016/ |
https://aistudio.baidu.com/aistudio/datasetdetail/54106 |
2-8 |
DLR3k |
目标检测 |
5616 * 3744 |
3 |
14235 |
7 |
jpg |
OBB |
0.13m |
__ |
航拍影像 |
航拍影像 (CanonEos1DsMarkIII) |
2016 |
德国航天航空中心 |
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52777 |
https://aistudio.baidu.com/aistudio/datasetdetail/54185 |
2-9 |
RSOD |
目标检测 |
1000± * 1000± |
3 |
976 |
4 |
jpg |
HBB |
0.3~ 3m |
__ |
卫星影像 |
GoogleEarth, Tianditu |
2017 |
武汉大学 |
https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset- |
https://aistudio.baidu.com/aistudio/datasetdetail/52980 |
2-10 |
TGRS HRRSD |
目标检测 |
152 * 152~10569 * 10569 |
3 |
21761 |
13 |
jpg |
HBB |
0.15~ 1.2m |
__ |
卫星影像 |
GoogleEarth, BaiduMap |
2017 |
中科院 |
https://github.com/CrazyStoneonRoad/TGRS-HRRSD-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/53186 |
2-11 |
ships in satellite imagery |
目标检测 |
80 * 80 |
3 |
4000 |
1 |
png |
HBB |
3m |
__ |
卫星影像 |
Planet |
2017 |
PlanetTeam |
https://www.kaggle.com/rhammell/ships-in-satellite-imagery |
https://aistudio.baidu.com/aistudio/datasetdetail/77233 |
2-12 |
xView |
目标检测 |
3000± * 3000± |
3 |
1129 |
60 |
tif |
HBB |
0.3m |
__ |
卫星影像 |
WorldView3 |
2018 |
DIUx |
https://challenge.xviewdataset.org/data-download |
https://aistudio.baidu.com/aistudio/datasetdetail/53622 |
2-13 |
LEVIR |
目标检测 |
800 * 600 |
3 |
22000 |
3 |
jpg |
HBB |
0.2~ 1.0m |
__ |
卫星影像 |
GoogleEarth |
2018 |
北京航天航空大学 |
http://levir.buaa.edu.cn/Code.htm |
https://aistudio.baidu.com/aistudio/datasetdetail/53714 |
2-14 |
MASATI |
目标检测 |
512± * 512± |
3 |
7389 |
7 |
png |
HBB |
0.08~ 2m |
__ |
卫星影像 |
BingMaps |
2018 |
阿利坎特大学 |
https://www.iuii.ua.es/datasets/masati/ |
https://aistudio.baidu.com/aistudio/datasetdetail/53895 |
2-15 |
ITCVD |
目标检测 |
5616 * 3744 |
3 |
135 |
1 |
jpg |
HBB |
0.1m |
__ |
航拍影像 |
航拍影像 |
2018 |
University of Twente Research Information |
https://research.utwente.nl/en/datasets/itcvd-dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/54674 |
2-16 |
DIOR |
目标检测 |
800 * 800 |
3 |
23463 |
20 |
jpg |
HBB, OBB |
0.5~ 30m |
__ |
卫星影像 |
GoogleEarth |
2019 |
西北工业大学 |
http://www.escience.cn/people/JunweiHan/DIOR.html |
https://aistudio.baidu.com/aistudio/datasetdetail/53045 |
2-17 |
iSAID |
目标检测 |
800 * 800~13000 * 13000 |
3 |
2806 |
15 |
png |
OBB |
__ |
__ |
卫星影像 |
GoogleEarth, JL1, GF2 |
2019 |
武汉大学 |
https://captain-whu.github.io/iSAID/index.html |
https://aistudio.baidu.com/aistudio/datasetdetail/73458 |
2-18 |
Bridge Dataset |
目标检测 |
4800 * 2843 |
3 |
500 |
1 |
jpg |
HBB |
0.5m |
__ |
卫星影像 |
GoogleEarth, OpenStreetMap |
2019 |
Federal University of Minas Gerais |
http://www.patreo.dcc.ufmg.br/2019/07/10/bridge-dataset/ |
https://aistudio.baidu.com/aistudio/datasetdetail/57457 |
2-19 |
RarePlanes |
目标检测 |
512 * 512 |
3 |
1507 |
10 |
png |
HBB |
0.3~ 1.5m |
__ |
卫星影像 |
WorldView3 |
2020 |
In-Q-Tel |
https://www.cosmiqworks.org/RarePlanes/ |
https://aistudio.baidu.com/aistudio/datasetdetail/70215 |
2-20 |
飞机目标识别-训练数据集 |
目标检测 |
4096 * 4096 |
3 |
430 |
11 |
png |
OBB |
0.5~ 1m |
__ |
卫星影像 |
国产自主产权系列卫星 |
2021 |
中科院 |
https://www.rsaicp.com/portal/dataDetail?id=34 |
https://aistudio.baidu.com/aistudio/datasetdetail/131179 |
2-21 |
船只智能检测-训练数据集 |
目标检测 |
20000 * 20000 |
3 |
25 |
__ |
png |
OBB |
5m |
__ |
卫星影像 |
国产自主产权系列卫星 |
2021 |
中科院 |
https://www.rsaicp.com/portal/dataDetail?id=35 |
https://aistudio.baidu.com/aistudio/datasetdetail/134218 |
2-22 |
FAIR1M |
目标检测 |
1000 * 100~100000 * 10000 |
3 |
15000 |
37 |
tif |
OBB |
0.3~ 0.8m |
__ |
卫星影像 |
GF, GoogleEarth |
2021 |
中科院 |
http://gaofen-challenge.com |
https://aistudio.baidu.com/aistudio/datasetdetail/78453 |
2-23 |
VISO-Detection |
目标检测 |
1000 * 1000 |
3 |
32825 |
4 |
jpg |
HBB |
0.5~ 1.1m |
__ |
卫星影像 |
JL1 |
2021 |
国防科技大学 |
https://satvideodt.github.io/ |
https://aistudio.baidu.com/aistudio/datasetdetail/137865 |
2-24 |
VisDrone2019 DET |
目标检测 |
1000± * 1000± |
3 |
10209 |
10 |
jpg |
HBB |
__ |
__ |
航拍影像 |
航拍影像 |
2018 |
天津大学 |
https://github.com/VisDrone/VisDrone-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/54054 |
2-25 |
VisDrone2019-VID |
目标检测 |
1000± * 1000± |
3 |
40000+ |
10 |
jpg |
HBB |
__ |
__ |
航拍影像 |
航拍影像 |
2018 |
天津大学 |
https://github.com/VisDrone/VisDrone-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/137265 |
2-26 |
DroneCrowd |
目标检测 |
640*512 |
3 |
1807 |
1 |
jpg |
__ |
__ |
__ |
航拍影像 |
航拍影像 |
2020 |
天津大学 |
https://github.com/VisDrone/VisDrone-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/137691 |
2-27 |
DOTA1.0 |
目标检测 |
800 * 800~4000 * 4000 |
3 |
2806 |
15 |
png |
OBB |
__ |
__ |
卫星影像 |
GoogleEarth, GF2, JL0 |
2018 |
武汉大学 |
https://captain-whu.github.io/DOTA/index.html |
https://aistudio.baidu.com/aistudio/datasetdetail/53125 |
2-28 |
DOTA1.5 |
目标检测 |
800 * 800~4000 * 4000 |
3 |
2806 |
16 |
png |
OBB |
__ |
__ |
卫星影像 |
GoogleEarth, GF2, JL1 |
2019 |
武汉大学 |
https://captain-whu.github.io/DOTA/index.html |
https://aistudio.baidu.com/aistudio/datasetdetail/53125 |
2-29 |
DOTA2.0 |
目标检测 |
800 * 800~20000 * 20000 |
3 |
11268 |
18 |
png |
OBB |
__ |
__ |
卫星影像、航拍影像 |
GoogleEarth, GF2, 航拍影像 |
2021 |
武汉大学 |
https://captain-whu.github.io/DOTA/index.html |
https://aistudio.baidu.com/aistudio/datasetdetail/53125 |
2-30 |
COWC |
目标检测 |
2000 * 2000~19000 * 19000 |
__ |
53 |
__ |
__ |
onedot |
0.15m |
__ |
卫星影像 |
Utah |
2016 |
劳伦斯利弗莫尔国家实验室 |
https://gdo152.llnl.gov/cowc/ |
|
2-31 |
Functional Map of theWorld Challenge |
目标检测 |
__ |
4、8 |
31 |
__ |
__ |
onedot |
__ |
__ |
卫星影像 |
Utah |
2016 |
约翰霍普金斯大学应用物理实验室 |
https://github.com/fMoW/dataset |
|
2-32 |
CARPK |
目标检测 |
__ |
__ |
1573 |
__ |
png |
__ |
__ |
__ |
航拍影像 |
航拍影像 |
2017 |
台湾国立大学 |
https://lafi.github.io/LPN/ |
|
2-33 |
MAFAT Challenge |
目标检测 |
__ |
__ |
4216 |
__ |
__ |
HBB |
0.05~ 0.15m |
__ |
航拍影像 |
航拍影像 |
2018 |
yuvalsh |
https://competitions.codalab.org/competitions/19854 |
|
2-34 |
rscupdet |
目标检测 |
1024 * 1024 |
3 |
2423 |
__ |
png |
OBB |
__ |
__ |
卫星影像 |
__ |
2019 |
__ |
http://rscup.bjxintong.com.cn/#/theme/2 |
|
2-35 |
SSDD |
目标检测 |
500 * 500 |
1 |
1160 |
1 |
jpg |
HBB, OBB |
1~ 15m |
__ |
SAR |
RadarSat2, TerraSARX, Sentinel1 |
2017 |
海军航空大学 |
https://zhuanlan.zhihu.com/p/58404659 |
https://aistudio.baidu.com/aistudio/datasetdetail/54806 |
2-36 |
OpenSARShip |
目标检测 |
1200 * 900 |
1 |
41 |
1 |
tif |
Chip |
__ |
__ |
SAR |
Sentinel1 |
2017 |
上海交通大学 |
http://opensar.sjtu.edu.cn/ |
https://aistudio.baidu.com/aistudio/datasetdetail/77017 |
2-37 |
HRSID |
目标检测 |
800 * 800 |
1 |
5604 |
1 |
png |
HBB |
0.5~ 3m |
__ |
SAR |
Sentinel1B, TerraSARX, TEMX |
2020 |
电子科技大学 |
https://github.com/chaozhong2010/HRSID |
https://aistudio.baidu.com/aistudio/datasetdetail/54512 |
2-38 |
AIR SARShip1.0 |
目标检测 |
3000 * 3000 |
1 |
31 |
1 |
tiff |
HBB |
1~ 3m |
__ |
SAR |
GF3 |
2019 |
《雷达学报》编辑部 |
https://radars.ac.cn/web/data/getData?newsColumnId=abd5c1b2-fe65-47f7-8ebf-990273a91a48 |
https://aistudio.baidu.com/aistudio/datasetdetail/54270 |
2-39 |
AIR SARShip2.0 |
目标检测 |
1000 * 1000 |
1 |
300 |
1 |
tiff |
HBB |
1~ 3m |
__ |
SAR |
GF3 |
2020 |
《雷达学报》编辑部 |
https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 |
https://aistudio.baidu.com/aistudio/datasetdetail/54270 |
2-40 |
gf2021 高分辨率SAR图像中近海养殖场分割数据集 |
目标检测 |
600 * 600, 1024 * 1024, 2048 * 2048, |
1 |
300+ |
6 |
tif |
HBB |
1m |
__ |
SAR |
GF3 |
2021 |
中科院 |
http://sw.chreos.org/challenge/dataset/4 |
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
3-1 |
SPARCS |
图像分割 |
1000 * 1000 |
10 |
80 |
7 |
tif |
png |
30m |
__ |
卫星影像 |
Landsat8 |
2014 |
University of Tennessee Knoxville |
https://www.usgs.gov/core-science-systems/nli/landsat/spatial-procedures-automated-removal-cloud-and-shadow-sparcs |
https://aistudio.baidu.com/aistudio/datasetdetail/100009 |
3-2 |
Zurich Summer |
图像分割 |
1000± * 1000± |
4 |
20 |
8 |
tif |
tif |
0.62m |
__ |
卫星影像 |
QuickBird |
2015 |
TheUniversityofEdinburgh,Sc |
https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 |
https://aistudio.baidu.com/aistudio/datasetdetail/55102 |
3-3 |
ERM PAIW |
图像分割 |
4000± * 4000± |
3 |
41 |
1 |
png, jpg |
tif |
__ |
__ |
航拍影像 |
航拍影像 |
2015 |
German AerospaceCenter (DLR) |
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52776 |
https://aistudio.baidu.com/aistudio/datasetdetail/57293 |
3-4 |
HD Maps |
图像分割 |
4000± * 4000± |
3 |
20 |
5 |
png |
png |
__ |
__ |
航拍影像 |
航拍影像 |
2016 |
German AerospaceCenter (DLR) |
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-52773 |
https://aistudio.baidu.com/aistudio/datasetdetail/57162 |
3-5 |
BDCI2017 |
图像分割 |
8000± * 8000± |
3 |
5 |
5 |
png |
png |
__ |
__ |
卫星影像 |
__ |
2017 |
BDCI |
https://www.datafountain.cn/competitions/270 |
https://aistudio.baidu.com/aistudio/datasetdetail/55424 |
3-6 |
Learning Aerial Image Segmentation From Online Maps |
图像分割 |
3000± * 3000± |
3 |
1671 |
2 |
png |
png |
__ |
__ |
卫星影像、航拍影像 |
GoogleMaps, OpenStreetMap |
2017 |
THZürich |
https://zenodo.org/record/1154821 |
https://aistudio.baidu.com/aistudio/datasetdetail/56140 |
3-7 |
Inria Aerial Image Labeling Dataset |
图像分割 |
5000 * 5000 |
3 |
180 |
1 |
tif |
tif |
0.3m |
__ |
航拍影像 |
航拍影像 |
2017 |
Inria Sophia Antipolis-Mediterranee |
https://project.inria.fr/aerialimagelabeling/ |
|
3-8 |
WHDLD |
图像分割 |
256 * 256 |
3 |
4940 |
6 |
png |
png |
__ |
__ |
卫星影像 |
UCMerced |
2018 |
武汉大学 |
https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 |
https://aistudio.baidu.com/aistudio/datasetdetail/55589 |
3-9 |
DLRSD |
图像分割 |
256 * 256 |
3 |
2100 |
17 |
tif |
png |
1foot |
__ |
卫星影像 |
USGS National Map |
2018 |
武汉大学 |
https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 |
https://aistudio.baidu.com/aistudio/datasetdetail/55005 |
3-10 |
Multi-Sensor Land-Cover Classification |
图像分割 |
5957 * 8149, 6031 * 5596 |
4, 1 |
2 |
4 |
tif |
tif |
__ |
__ |
卫星影像 |
Sentinel1B, Sentinel2A |
2018 |
武汉大学 |
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-51180 |
https://aistudio.baidu.com/aistudio/datasetdetail/136777 |
3-11 |
Aeroscapes |
图像分割 |
720 * 720 |
3 |
3269 |
11 |
jpg |
png |
__ |
__ |
航拍影像 |
航拍影像 |
2018 |
Carnegie Mellon University |
https://github.com/ishann/aeroscapes |
https://aistudio.baidu.com/aistudio/datasetdetail/55222 |
3-12 |
AIRS |
图像分割 |
10000 * 10000 |
3 |
190 |
1 |
tif |
tif |
0.075m |
__ |
航拍影像 |
LINZ Data Service |
2018 |
University of Tokyo |
https://www.airs-dataset.com/ |
https://aistudio.baidu.com/aistudio/datasetdetail/74274 |
3-13 |
RIT 18 |
图像分割 |
9393 * 5642、8833 * 6918、12446 * 7654 |
7 |
3 |
18 |
mat |
npy |
0.047m |
__ |
卫星影像 |
Tetracam MicroMCA6 |
2018 |
Rochester Institute of Technology |
https://github.com/rmkemker/RIT-18 |
https://aistudio.baidu.com/aistudio/datasetdetail/98991 |
3-14 |
Drone Deploy |
图像分割 |
6000± * 6000± |
3 |
55 |
7 |
tif |
png |
0.1m |
__ |
航拍影像 |
drones |
2019 |
Drone Deploy |
https://github.com/dronedeploy/dd-ml-segmentation-benchmark |
https://aistudio.baidu.com/aistudio/datasetdetail/79283 |
3-15 |
Road Tracer |
图像分割 |
4096 * 4096 |
3 |
3000 |
1 |
png |
png |
0.6m |
__ |
卫星影像 |
Googleearth, OSM |
2019 |
MIT |
https://github.com/mitroadmaps/roadtracer/ |
https://aistudio.baidu.com/aistudio/datasetdetail/74848 |
3-16 |
Bijie Landslide Dataset |
图像分割 |
200± * 200± |
3 |
771 |
1 |
png |
png |
0.68m |
__ |
卫星影像 |
TripleSat |
2019 |
武汉大学 |
http://gpcv.whu.edu.cn/data/Bijie_pages.html |
https://aistudio.baidu.com/aistudio/datasetdetail/121515 |
3-17 |
GF2 Dataset for 3DFGC |
图像分割 |
1417 * 2652 , 1163 * 2120 |
4 |
11 |
5 |
tif |
tif |
4m |
__ |
卫星影像 |
GF2 |
2019 |
武汉大学 |
http://gpcv.whu.edu.cn/data/3DFGC_pages.html |
https://aistudio.baidu.com/aistudio/datasetdetail/135648 |
3-18 |
Semantic Drone Dataset |
图像分割 |
6000 * 4000 |
3 |
400 |
22 |
png |
png |
__ |
__ |
航拍影像 |
航拍影像 |
2019 |
Graz University of Technology |
http://dronedataset.icg.tugraz.at |
https://aistudio.baidu.com/aistudio/datasetdetail/134732 |
3-19 |
WHU Cloud Dataset |
图像分割 |
512 * 512 |
3 |
730 |
1 |
tif |
tif |
__ |
__ |
卫星影像 |
Landsat 8 |
2020 |
武汉大学 |
http://gpcv.whu.edu.cn/data/WHU_Cloud_Dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/136174 |
3-20 |
Land Cover from Aerial Imagery (landcover_ai) |
图像分割 |
9000 * 9500、4200 * 4700 |
3 |
41 |
3 |
tif |
tif |
0.25~ 0.5m |
__ |
航拍影像 |
航拍影像 |
2020 |
linuxpols |
https://landcover.ai/ |
https://aistudio.baidu.com/aistudio/datasetdetail/76629 |
3-21 |
UAVid |
图像分割 |
4096 * 2160、3840 * 2160 |
3 |
300 |
8 |
png |
png |
__ |
__ |
航拍影像 |
航拍影像 |
2020 |
University of Twente |
https://www.uavid.nl/ |
https://aistudio.baidu.com/aistudio/datasetdetail/55774 |
3-22 |
AI + 遥感影像 |
图像分割 |
256 * 256 |
3 |
100000 |
8、17 |
tif |
tif, png |
0.1~ 4m |
__ |
卫星影像 |
GF1, GF2, GF6, GJ2, BJ2, 航拍影像 |
2020 |
全国人工智能大赛组委会 |
https://www.datafountain.cn/competitions/457 |
https://aistudio.baidu.com/aistudio/datasetdetail/51568 |
3-23 |
BDCI2020 |
图像分割 |
256 * 256 |
3 |
145981 |
7 |
jpg |
png |
__ |
__ |
卫星影像 |
__ |
2020 |
BDCI |
https://www.datafountain.cn/competitions/475 |
https://aistudio.baidu.com/aistudio/datasetdetail/56051 |
3-24 |
mini Inria Aerial Image Labeling Dataset |
图像分割 |
512 * 512 |
3 |
32500 |
1 |
jpg |
csv |
0.3m |
__ |
航拍影像 |
航拍影像 |
2021 |
天池大赛 |
https://tianchi.aliyun.com/competition/entrance/531872/introduction |
https://aistudio.baidu.com/aistudio/datasetdetail/70361 |
3-25 |
LoveDA |
图像分割 |
1024 * 1024 |
3 |
5987 |
7 |
png |
png |
0.3m |
__ |
卫星影像 |
GoogleEarth |
2021 |
武汉大学 |
https://github.com/Junjue-Wang/LoveDA |
https://aistudio.baidu.com/aistudio/datasetdetail/121200 |
3-26 |
MiniFrance-DFC22 |
图像分割 |
2000±* 2000± |
3 |
2322 |
15 |
tif |
tif |
__ |
__ |
航拍影像 |
航拍影像 |
2022 |
IADF TC |
https://www.grss-ieee.org/community/technical-committees/2022-ieee-grss-data-fusion-contest/ |
https://aistudio.baidu.com/aistudio/datasetdetail/129225 |
3-27 |
遥感建筑提取数据集_M |
图像分割 |
512 * 512 |
3 |
447686 |
1 |
__ |
__ |
__ |
__ |
__ |
__ |
2022 |
重庆交通大学 |
https://aistudio.baidu.com/aistudio/datasetdetail/102929 |
https://aistudio.baidu.com/aistudio/datasetdetail/102929 |
3-28 |
Massachusetts Roads |
图像分割 |
1500 * 1500 |
3 |
804 |
1 |
png |
png |
1m |
__ |
航拍影像 |
航拍影像 |
2013 |
University of Toronto |
https://www.cs.toronto.edu/~vmnih/data/ |
https://aistudio.baidu.com/aistudio/datasetdetail/56961 |
3-29 |
Massachusetts Builds |
图像分割 |
1500 * 1500 |
3 |
151 |
1 |
png |
png |
1m |
__ |
航拍影像 |
航拍影像 |
2013 |
University of Toronto |
https://www.cs.toronto.edu/~vmnih/data/ |
https://aistudio.baidu.com/aistudio/datasetdetail/57019 |
3-30 |
Deep Globe Land Cover Classification Challenge |
图像分割 |
2448 * 2448 |
3 |
803 |
7 |
jpg |
png |
0.5m |
__ |
卫星影像 |
DigitalGlobe |
2018 |
CVPR |
http://deepglobe.org/challenge.html |
https://aistudio.baidu.com/aistudio/datasetdetail/55681 |
3-31 |
Deep Globe Road Detection Challenge |
图像分割 |
1024 * 1024 |
3、14 |
6226 |
1 |
jpg |
png |
0.5m |
__ |
卫星影像 |
DigitalGlobe |
2018 |
CVPR |
http://deepglobe.org/challenge.html |
https://aistudio.baidu.com/aistudio/datasetdetail/55682 |
3-32 |
WHU Building Dataset, Satellite datasetⅠ (globalcities) |
图像分割 |
512 * 512 |
3 |
204 |
1 |
tif |
tif |
0.3~ 2.5m |
__ |
卫星影像 |
QuickBird, Worldviewseries, IKONOS, ZY3 |
2019 |
武汉大学 |
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/56341 |
3-33 |
WHU Building Dataset, Satellite datasetⅡ (EastAsia) |
图像分割 |
512 * 512 |
3 |
17388 |
1 |
tif |
tif |
0.45m |
__ |
卫星影像 |
__ |
2019 |
武汉大学 |
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/56356 |
3-34 |
WHU Building Dataset, Aerial imagery dataset |
图像分割 |
512 * 512 |
3 |
8189 |
1 |
tif |
tif |
0.3m |
__ |
卫星影像 |
__ |
2019 |
武汉大学 |
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/56502 |
3-35 |
ORSSD |
图像分割 |
500± * 500± |
3 |
800 |
8 |
jpg |
png |
__ |
__ |
卫星影像 |
GoogleEarth |
2019 |
北京交通大学 |
https://github.com/rmcong/ORSSD-dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/98275 |
3-36 |
EORSSD |
图像分割 |
500± * 500± |
3 |
2000 |
8 |
jpg |
png |
__ |
__ |
卫星影像 |
GoogleEarth |
2020 |
北京交通大学 |
https://hub.fastgit.org/rmcong/EORSSD-dataset]https://hub.fastgit.org/rmcong/EORSSD-dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/98372 |
3-37 |
38 Cloud: A Cloud Segmentation Dataset |
图像分割 |
384 * 384 |
4 |
8400 |
1 |
tif |
tif |
30m |
__ |
卫星影像 |
Landsat8 |
2018 |
Science Simon Fraser University |
https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/56236 |
3-38 |
95 Cloud: An Extension to 38 Cloud Dataset |
图像分割 |
384 * 384 |
4 |
34701 |
1 |
tif |
tif |
30m |
__ |
卫星影像 |
Landsat8 |
2020 |
Simon Fraser University |
https://github.com/SorourMo/95-Cloud-An-Extension-to-38-Cloud-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/56839 |
3-39 |
Postdam |
图像分割 |
6000 * 6000 |
3 |
38 |
6 |
tif |
tif |
0.05m |
__ |
航拍影像 |
航拍影像 |
2012 |
ISPRS |
https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ |
https://aistudio.baidu.com/aistudio/datasetdetail/55153 |
3-40 |
Vaihingen |
图像分割 |
2000± * 2000± |
3 |
33 |
6 |
tif |
tif |
0.09m |
__ |
航拍影像 |
航拍影像 |
2012 |
ISPRS |
https://www2.isprs.org/commissions/comm2/wg4/benchmark/semantic-labeling/ |
https://aistudio.baidu.com/aistudio/datasetdetail/55408 |
3-41 |
GID Fine Land cover Classification 15 classes |
图像分割 |
7200 * 6800 |
3、4 |
10 |
5 |
tif |
tif |
0.8~ 10m |
__ |
卫星影像 |
GF2号 |
2018 |
武汉大学 |
https://x-ytong.github.io/project/GID.html |
https://aistudio.baidu.com/aistudio/datasetdetail/54878 |
3-42 |
GID Large scale Classification 5 classes |
图像分割 |
7200 * 6800 |
3、4 |
150 |
15 |
tif |
tif |
0.8~ 10m |
__ |
卫星影像 |
GF2, GF1, JL1, ZY3, Sentinel2A, GoogleEarth |
2018 |
武汉大学 |
https://x-ytong.github.io/project/GID.html |
https://aistudio.baidu.com/aistudio/datasetdetail/54934 |
3-43 |
UDD5 |
图像分割 |
4096± * 2160± |
3 |
160 |
5 |
png |
png |
__ |
__ |
航拍影像 |
DJIPhantom4 |
2018 |
北京大学 |
https://github.com/MarcWong/UDD |
https://aistudio.baidu.com/aistudio/datasetdetail/75675 |
3-44 |
UDD6 |
图像分割 |
4096± * 2160± |
3 |
141 |
6 |
png |
png |
__ |
__ |
航拍影像 |
DJIPhantom4 |
2018 |
北京大学 |
https://github.com/MarcWong/UDD |
https://aistudio.baidu.com/aistudio/datasetdetail/75675 |
3-45 |
BH POOLS |
图像分割 |
3840 * 2160 |
3 |
200 |
1 |
jpg |
png |
__ |
__ |
卫星影像 |
GoogleEarth |
2020 |
Federal University of Minas Gerais |
http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ |
https://aistudio.baidu.com/aistudio/datasetdetail/57579 |
3-46 |
BH WATERTANKS |
图像分割 |
3840 * 2160 |
3 |
200 |
1 |
jpg |
png |
__ |
__ |
卫星影像 |
GoogleEarth |
2020 |
Federal University of Minas Gerais |
http://www.patreo.dcc.ufmg.br/2020/07/29/bh-pools-watertanks-datasets/ |
https://aistudio.baidu.com/aistudio/datasetdetail/57579 |
3-47 |
BDCI2017 |
图像分割 |
8000± * 8000± |
3 |
5 |
5 |
png |
png |
__ |
__ |
__ |
__ |
2017 |
__ |
https://www.datafountain.cn/competitions/270 |
|
3-48 |
Deep Globe Building Extraction Challenge |
图像分割 |
650 * 650 |
8 |
254586 |
1 |
tif |
tif |
1.24m |
__ |
卫星影像 |
WorldView3 |
2018 |
CVPR |
http://deepglobe.org/challenge.html |
|
3-49 |
DLR-SkyScapes |
图像分割 |
5616 * 3744 |
3 |
16 |
31 |
__ |
__ |
0.13m |
__ |
航拍影像 |
航拍影像 |
2019 |
German Aerospace Center |
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58694 |
|
3-50 |
Barley Remote Sensing Dataset |
图像分割 |
47161 * 50141, 77470* 40650 |
3 |
2 |
4 |
png |
png |
__ |
__ |
航拍影像 |
航拍影像 |
2019 |
__ |
https://tianchi.aliyun.com/competition/entrance/231717/information |
https://aistudio.baidu.com/aistudio/datasetdetail/135044 |
3-51 |
rscupseg |
图像分割 |
7200 * 6800 |
4 |
20 |
6 |
tif |
tif |
4m |
__ |
卫星影像 |
GF2 |
2019 |
__ |
http://rscup.bjxintong.com.cn/#/theme/3 |
|
3-52 |
2020数字中国创新大赛 |
图像分割 |
4000± * 4000± |
3 |
8 |
1 |
tif |
tif |
0.8m |
__ |
卫星影像 |
GF2 |
2020 |
__ |
https://tianchi.aliyun.com/competition/entrance/231767/introduction |
|
3-53 |
“华为云杯”2020人工智能创新应用大赛 |
图像分割 |
10391 * 33106、34612 * 29810 |
3 |
2 |
1 |
png |
png |
0.8m |
__ |
卫星影像 |
BJ2 |
2020 |
__ |
https://competition.huaweicloud.com/information/1000041322/circumstance?track=107 |
|
3-54 |
2021全国数字生态创新大赛 |
图像分割 |
256 * 256 |
4 |
16017 |
__ |
tif |
tif |
0.8~ 2m |
__ |
卫星影像 |
GF |
2021 |
浙江大学 |
https://tianchi.aliyun.com/competition/entrance/531860/rankingList |
|
3-55 |
LRSNY |
图像分割 |
1000 * 1000 |
3 |
1368 |
__ |
__ |
__ |
0.5m |
__ |
卫星影像 |
__ |
2021 |
IEEE |
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9333652 |
|
3-56 |
gf2021 面向海洋一号可见光图像中海冰目标监测数据集 |
图像分割 |
512 * 512 |
3 |
2500+ |
1 |
png |
png |
50m |
__ |
卫星影像 |
HY1 |
2021 |
中科院 |
http://sw.chreos.org/challenge/dataset/5 |
|
3-57 |
rsipacseg |
图像分割 |
512 * 512 |
4 |
70000 |
9、47 |
tif |
png |
0.8~ 2m |
__ |
__ |
__ |
2021 |
武汉大学 |
http://rsipac.whu.edu.cn/subject_one |
|
3-58 |
2021全国人工智能创新大赛-遥感图像耕地识别 |
图像分割 |
256 * 256 |
3 |
50000 |
1 |
png |
png |
1m |
__ |
__ |
__ |
2021 |
__ |
http://www.aiinnovation.com.cn/#/AIcaict/trackDetail |
|
3-59 |
Salinas scene |
图像分割 |
512 * 217 |
224 |
1 |
16 |
mat |
mat |
3.7m |
10nm |
高光谱 |
机载可视红外成像光谱仪/ AVIRIS |
2011 |
__ |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/82020 |
3-60 |
Salinas Ascene |
图像分割 |
83 * 86 |
224 |
1 |
6 |
mat |
mat |
3.7m |
10nm |
高光谱 |
机载可视红外成像光谱仪/ AVIRIS |
2011 |
__ |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/82020 |
3-61 |
Pavia Centre scene |
图像分割 |
1096 * 1096 |
102 |
1 |
9 |
mat |
mat |
1.3m |
4.3nm |
航拍影像 |
机载反射光学光谱成像仪 /ROSIS |
2011 |
Paviauniversity |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/81260 |
3-62 |
Pavia University scene |
图像分割 |
610 * 610 |
103 |
1 |
9 |
mat |
mat |
1.3m |
4.3nm |
高光谱 |
机载反射光学光谱成像仪/ ROSIS |
2011 |
Paviauniversity |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/81260 |
3-63 |
Washington DCMALL |
图像分割 |
1280 * 307 |
191 |
1 |
7 |
tif |
tif |
__ |
10nm |
高光谱 |
机载高光谱数据/ Hydice |
2013 |
Spectral Information Technology |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/83251 |
3-64 |
Ikennedy Space Center |
图像分割 |
512 * 614 |
176 |
1 |
13 |
mat |
mat |
0.18m |
10nm |
高光谱 |
机载可视红外成像光谱仪/ AVIRIS |
2014 |
Center for Space Research-The University of TexasatAustin |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/81800 |
3-65 |
Botswana |
图像分割 |
1476 * 256 |
145 |
1 |
14 |
mat |
mat |
30m |
__ |
高光谱 |
EO1 |
2014 |
__ |
http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes |
https://aistudio.baidu.com/aistudio/datasetdetail/82578 |
3-66 |
Indian Pines |
图像分割 |
145 * 145、614 * 1848、2678 * 614 |
224 |
3 |
16 |
tif |
tif |
__ |
10nm |
高光谱 |
机载可视红外成像光谱仪/ AVIRIS |
2015 |
Purdue University |
https://purr.purdue.edu/publications/1947/1 |
https://aistudio.baidu.com/aistudio/datasetdetail/80970 |
3-67 |
HyRANK |
图像分割 |
250± * 1000± |
176 |
5 |
14 |
tif |
tif |
30m |
__ |
高光谱 |
EO1 |
2018 |
National Technical University of Athen |
https://www2.isprs.org/commissions/comm3/wg4/hyrank/ |
https://aistudio.baidu.com/aistudio/datasetdetail/80840 |
3-68 |
XiongAn hyperspectral dataset |
图像分割 |
3750 * 1580 |
250 |
1 |
19 |
img |
img |
0.5m |
2.4nm |
高光谱 |
机载高光谱数据/ GF专项航空系统全谱段多模态成像光谱仪 |
2019 |
中科院 |
http://www.hrs-cas.com/a/share/shujuchanpin/2019/0501/1049.html |
https://aistudio.baidu.com/aistudio/datasetdetail/100218 |
3-69 |
AIR PolSAR Seg |
图像分割 |
512 * 512 |
4 |
500 |
6 |
tiff |
png |
8m |
__ |
SAR |
__ |
2021 |
《雷达学报》编辑部 |
https://radars.ac.cn/web/data/getData?newsColumnId=1e6ecbcc-266d-432c-9c8a-0b9a922b5e85 |
https://aistudio.baidu.com/aistudio/datasetdetail/126831 |
3-70 |
gf2021 高分辨率SAR图像中近海养殖场分割数据集 |
图像分割 |
512 * 512, 1024 * 1024, 2048 * 2048 |
1 |
6000+ |
1 |
png |
png |
1~ 3m |
__ |
SAR |
HS1、GF3 |
2021 |
中科院 |
http://sw.chreos.org/challenge/dataset/3 |
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
4-1 |
SZTAKI INRIA Air Change |
变化检测 |
952 * 640 |
3 |
26 |
1 |
bmp |
bmp |
1.5m |
__ |
卫星影像 |
__ |
2009 |
MTASZTAKI |
http://web.eee.sztaki.hu/remotesensing/airchange_benchmark.html |
https://aistudio.baidu.com/aistudio/datasetdetail/77781 |
4-2 |
AIST Building Change Detection (fixed scale) |
变化检测 |
160 * 160 |
6 |
8506 |
1 |
tif |
csv |
0.4m |
__ |
航拍影像 |
航拍影像 |
2017 |
AIST |
https://github.com/gistairc/ABCDdataset |
https://aistudio.baidu.com/aistudio/datasetdetail/79596 |
4-3 |
AIST Building Change Detection (resized) |
变化检测 |
128 * 128 |
3 |
8446 |
1 |
tif |
csv |
0.5m |
__ |
航拍影像 |
航拍影像 |
2017 |
AIST |
https://github.com/gistairc/ABCDdataset |
https://aistudio.baidu.com/aistudio/datasetdetail/79596 |
4-4 |
WHU Building Change Detection Dataset |
变化检测 |
32207 * 15354 |
3 |
2 |
1 |
tif |
tif, shp |
0.2m |
__ |
航拍影像 |
航拍影像 |
2018 |
武汉大学 |
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/79035 |
4-5 |
season varying |
变化检测 |
256 * 256 |
3 |
1600 |
1 |
jpg |
jpg |
0.03~ 1m |
__ |
卫星影像 |
GoogleEarth (DigitalGlobe) |
2018 |
GosNIIAS |
https://paperswithcode.com/dataset/cdd-dataset-season-varying |
https://aistudio.baidu.com/aistudio/datasetdetail/78676 |
4-6 |
Onera Satellite Change Detection |
变化检测 |
600 * 600 |
13 |
48 |
1 |
tif |
tif, png |
10m |
__ |
卫星影像 |
Sentinel2 |
2018 |
Universit´e Paris- Saclay |
https://rcdaudt.github.io/oscd/ |
https://aistudio.baidu.com/aistudio/datasetdetail/72898 |
4-7 |
Multi temporal SceneWuHan |
变化检测 |
7200 * 6000 |
4 |
380 |
9 |
tif |
jpg |
1m |
__ |
卫星影像 |
IKONOS传感器 |
2019 |
武汉大学 |
http://sigma.whu.edu.cn/newspage.php?q=2019_03_26 |
https://aistudio.baidu.com/aistudio/datasetdetail/70452 |
4-8 |
DSIFN Dataset |
变化检测 |
512 * 512 |
3 |
380 |
9 |
tif |
png |
__ |
__ |
卫星影像 |
GoogleEarth |
2019 |
武汉大学 |
https://github.com/GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images/tree/master/dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/139421 |
4-9 |
High Resolution Semantic Change |
变化检测 |
10000 * 10000 |
3 |
291 |
6 |
png |
png |
__ |
__ |
航拍影像 |
IGS’s BDORTHO database |
2020 |
ETHZürich |
https://rcdaudt.github.io/hrscd/ |
https://aistudio.baidu.com/aistudio/datasetdetail/86660 |
4-10 |
xBD |
变化检测 |
1024 * 1024 |
3、4、8 |
22068 |
4 |
png |
json |
__ |
__ |
卫星影像 |
DigitalGlobe |
2020 |
MIT |
https://xview2.org/dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/73203 |
4-11 |
Google dataset |
变化检测 |
1000 * 1000~5000 * 5000 |
3 |
20 |
1 |
tif |
png |
0.55m |
__ |
卫星影像 |
GoogleEarth |
2020 |
IEEE |
https://github.com/daifeng2016/Change-Detection-Dataset-for-High-Resolution-Satellite-Imagery |
https://aistudio.baidu.com/aistudio/datasetdetail/75099 |
4-12 |
LEVIR CD |
变化检测 |
1024 * 1024 |
3 |
1274 |
1 |
png |
png |
0.5m |
__ |
卫星影像 |
GoogleEarth |
2020 |
北京航空航天大学 |
https://justchenhao.github.io/LEVIR/ |
https://aistudio.baidu.com/aistudio/datasetdetail/75459 |
4-13 |
SenseEarth Change Detection |
变化检测 |
512 * 512 |
3 |
7630 |
6 |
png |
png |
0.5~ 3m |
__ |
卫星影像 |
__ |
2020 |
商汤科技 |
https://rs.sensetime.com/competition/index.html#/info |
https://aistudio.baidu.com/aistudio/datasetdetail/53484 |
4-14 |
SEmantic Change detectiON Data |
变化检测 |
512 * 512 |
3 |
9324 |
1 |
png |
png |
__ |
__ |
航拍影像 |
航拍影像 |
2020 |
武汉大学 |
http://www.captain-whu.com/project/SCD/ |
https://aistudio.baidu.com/aistudio/datasetdetail/87088 |
4-15 |
Sentinel 2 Multitemporal Cities Pairs |
变化检测 |
600 * 600 |
14 |
3042 |
__ |
npy |
self-supervised |
10m |
__ |
卫星影像 |
Sentinel2 |
2020 |
Wageningen University |
https://zenodo.org/record/4280482 |
https://aistudio.baidu.com/aistudio/datasetdetail/104199 |
4-16 |
SunYat SenUniversity CD |
变化检测 |
256 * 256 |
3 |
40000 |
1 |
png |
png |
0.5m |
__ |
航拍影像 |
航拍影像 |
2021 |
中山大学 |
https://github.com/liumency/SYSU-CD |
https://aistudio.baidu.com/aistudio/datasetdetail/98596 |
4-17 |
S2Looking |
变化检测 |
1024 * 1024 |
3 |
8000 |
1 |
png |
png |
__ |
__ |
航拍影像 |
国产自主产权系列卫星 |
2021 |
中科院 |
https://www.rsaicp.com/portal/dataDetail?id=30 |
https://aistudio.baidu.com/aistudio/datasetdetail/133833 |
4-18 |
LEVIR-CD2 |
变化检测 |
1024 * 1024 |
3 |
890 |
1 |
png |
png |
__ |
__ |
卫星影像 |
GoogleEarth |
2021 |
中科院 |
https://www.rsaicp.com/portal/dataDetail?id=27 |
https://aistudio.baidu.com/aistudio/datasetdetail/132093 |
4-19 |
[飞粤云端2017]广东政务数据创新大赛 |
变化检测 |
3000~8106 * 15106 |
4 |
8 |
1 |
tif |
tif |
0.65m |
__ |
卫星影像 |
quickbird |
2017 |
__ |
https://tianchi.aliyun.com/competition/entrance/231615/information |
|
4-20 |
WHU dataset |
变化检测 |
512 * 512 |
3 |
8189 |
1 |
__ |
__ |
0.25~ 0.3m, 2.7m |
__ |
卫星影像,航拍影像 |
QuickBird, Worldview series, IKONOS, ZY3, 航拍影像 |
2018 |
武汉大学 |
https://ieeexplore.ieee.org/document/8444434 |
|
4-21 |
Hi-UCD |
变化检测 |
1024 * 1024 |
3 |
2586 |
9 |
__ |
__ |
0.1m |
__ |
__ |
__ |
2020 |
武汉大学 |
https://arxiv.org/abs/2011.03247 |
|
4-22 |
rscupcd |
变化检测 |
960 * 960 |
4 |
44 |
1 |
tif |
tif |
__ |
__ |
__ |
__ |
2020 |
__ |
http://rscup.bjxintong.com.cn/#/theme/4 |
|
4-23 |
gf2021 高分辨率可见光图像中建筑物普查与变化检测数据集 |
变化检测 |
512 * 512 |
3 |
5000 |
1 |
png |
png |
__ |
__ |
卫星影像 |
GF2, JL1 |
2021 |
中科院 |
http://sw.chreos.org/challenge/dataset/5 |
|
4-24 |
WH-MAVS |
变化检测 |
200*200 |
3 |
47134 |
15 |
__ |
__ |
1.2m |
__ |
卫星影像 |
GoogleEarth |
2021 |
武汉大学 |
http://sigma.whu.edu.cn/newspage.php?q=2021_06_27 |
|
4-25 |
PRCV2021cd |
变化检测 |
512 * 512 |
3 |
16000 |
1 |
png |
png |
__ |
__ |
__ |
__ |
2021 |
PRCV |
https://captain-whu.github.io/PRCV2021_RS/dataset.html |
|
4-26 |
rsipac2021cd |
变化检测 |
512 * 512 |
3 |
6388 |
1 |
tif |
png |
1~ 2m |
__ |
__ |
__ |
2021 |
武汉大学 |
http://rsipac.whu.edu.cn/subject_two |
https://aistudio.baidu.com/aistudio/datasetdetail/126838 |
4-27 |
Change Detection Dataset |
变化检测 |
984 * 740、600 * 500、390 * 200 |
224 |
6 |
3、5 |
mat |
mat |
__ |
__ |
高光谱 |
机载可视红外成像光谱仪/ AVIRIS,EO1Hyperion |
2019 |
__ |
https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset |
https://aistudio.baidu.com/aistudio/datasetdetail/89523 |
4-28 |
river chang dataset |
变化检测 |
463 * 241 |
196 |
2 |
1 |
mat |
mat |
30m |
10nm |
高光谱 |
EO1Hyperion |
2019 |
西北工业大学 |
http://crabwq.github.io/ |
https://aistudio.baidu.com/aistudio/datasetdetail/98802 |
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
5-1 |
Dstl Satellite Imagery Feature Detection |
实例分割 |
13348 * 3392、837 * 848、134 * 136 |
3、16 |
57 |
10 |
tif |
json |
0.31m, 1.24m, 7.5m |
__ |
卫星影像 |
WorldView3 |
2017 |
DefenceScience&TechnologyLaboratory |
https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/data |
https://aistudio.baidu.com/aistudio/datasetdetail/87506 |
5-2 |
Map Challenge |
实例分割 |
300 * 300 |
3 |
341058 |
1 |
jpg |
json |
__ |
__ |
卫星影像 |
GoogleMap |
2018 |
crowdAI |
https://www.crowdai.org/challenges/mapping-challengehttps://www.jianshu.com/p/90efc39975da |
https://aistudio.baidu.com/aistudio/datasetdetail/54858 |
5-3 |
Open AI Tanzania Building Footprint Segmentation Challenge |
实例分割 |
40000± * 40000± |
3 |
13 |
3 |
tif |
json |
__ |
__ |
航拍影像 |
航拍影像 |
2018 |
jordan |
https://competitions.codalab.org/competitions/20100 |
https://aistudio.baidu.com/aistudio/datasetdetail/76145 |
5-4 |
Sentinel 2 Cloud Mask Catalogue |
实例分割 |
1022 * 1022 |
13 |
513 |
3 |
npy |
npy, shp |
20m |
__ |
卫星影像 |
Sentinel2 |
2020 |
__ |
https://zenodo.org/record/4172871 |
https://aistudio.baidu.com/aistudio/datasetdetail/105196 |
5-5 |
CASIA-aircraft |
实例分割 |
399 * 399 |
3 |
40696 |
3 |
jpg |
xml |
__ |
__ |
卫星影像 |
GoogleEarth |
2021 |
中科院 |
https://www.rsaicp.com/portal/dataDetail?id=16 |
https://aistudio.baidu.com/aistudio/datasetdetail/131700 |
5-6 |
CASIA-Ship |
实例分割 |
1680 * 913 |
3 |
791 |
1 |
jpg |
json |
__ |
__ |
卫星影像 |
GoogleEarth |
2021 |
中科院 |
https://www.rsaicp.com/portal/dataDetail?id=14 |
https://aistudio.baidu.com/aistudio/datasetdetail/131586 |
5-7 |
Airbus Ship Detection Challenge |
实例分割 |
768 * 768 |
3 |
40000+ |
1 |
jpg |
csv |
__ |
__ |
航拍影像 |
航拍影像 |
2018 |
Airbus |
https://www.kaggle.com/c/airbus-ship-detection |
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
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|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
6-1 |
MLRSNet |
多标签分类 |
256 * 256 |
3 |
109161 |
46 |
jpg |
csv |
0.1~ 10m |
__ |
卫星影像 |
GoogleEarth |
2020 |
中国地质大学 |
https://data.mendeley.com/datasets/7j9bv9vwsx/2 |
https://aistudio.baidu.com/aistudio/datasetdetail/76804 |
6-2 |
planet: understanding the amazon from space |
多标签分类 |
256 * 256 |
4 |
150000+ |
17 |
tif, jpg |
csv |
3~ 3.7m |
__ |
卫星影像 |
Planet |
2017 |
planet |
https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data |
|
6-3 |
Big Earth Net |
多标签分类 |
120 * 12060 * 6020 * 20; |
3 |
590326 |
43 |
tif |
json |
10m, 20m, 60m |
__ |
卫星影像 |
Sentinel1, Sentinel2 |
2019 |
柏林工业大学 |
https://bigearth.net/ |
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
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__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
7-1 |
UAV123 |
目标跟踪 |
720 * 1280 |
3 |
110000 |
12 |
jpg |
txt |
__ |
__ |
航拍影像 |
UAV (DJIS1000), UAVsimulator |
2017 |
King Abdullah University of Scienceand Technology |
https://cemse.kaust.edu.sa/ivul/uav123 |
https://aistudio.baidu.com/aistudio/datasetdetail/91853 |
7-2 |
地/空背景下红外图像弱小飞机目标检测跟踪数据集 |
目标跟踪 |
256 * 256 |
1 |
16177 |
1 |
bmp |
txt |
10~ 100m |
__ |
航拍影像 |
航拍影像 |
2019 |
国防科技大学 |
http://www.csdata.org/p/387/ |
https://aistudio.baidu.com/aistudio/datasetdetail/138620 |
7-3 |
复杂背景下红外弱小运动目标检测数据集 |
目标跟踪 |
640 * 512 |
1 |
150185 |
1 |
png |
json |
__ |
__ |
航拍影像 |
航拍影像 |
2021 |
国防科技大学 |
https://www.scidb.cn/en/detail?dataSetId=808025946870251520 |
https://aistudio.baidu.com/aistudio/datasetdetail/138957 |
7-4 |
VisDrone2019-SOT |
目标跟踪 |
3840 * 2160 |
3 |
1393000 |
10 |
jpg |
txt |
1~ 1.2m |
__ |
航拍影像 |
航拍影像 |
2018 |
天津大学 |
https://github.com/VisDrone/VisDrone-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/137459 |
7-5 |
VisDrone2019-MOT |
目标跟踪 |
3840 * 2160 |
3 |
39988 |
10 |
jpg |
txt |
1~ 1.2m |
__ |
航拍影像 |
航拍影像 |
2018 |
天津大学 |
https://github.com/VisDrone/VisDrone-Dataset |
https://aistudio.baidu.com/aistudio/datasetdetail/137018 |
7-6 |
VISO-SOT |
目标跟踪 |
1000 * 1000 |
3 |
32825 |
4 |
jpg |
txt |
0.5~ 1.1m |
__ |
卫星影像 |
JL1 |
2021 |
国防科技大学 |
https://satvideodt.github.io/ |
https://aistudio.baidu.com/aistudio/datasetdetail/138105 |
7-7 |
VISO-MOT |
目标跟踪 |
1000 * 1000 |
3 |
32825 |
4 |
jpg |
txt |
0.5~ 1.1m |
__ |
卫星影像 |
JL1 |
2021 |
国防科技大学 |
https://satvideodt.github.io/ |
https://aistudio.baidu.com/aistudio/datasetdetail/138362 |
7-8 |
rscuptrc |
目标跟踪 |
1000± * 1000± |
3 |
6000 |
4 |
jpg |
txt |
__ |
__ |
__ |
__ |
2019 |
__ |
http://rscup.bjxintong.com.cn/#/theme/5 |
|
7-9 |
gf2021 高分辨率光学卫星视频中多目标跟踪数据集 |
目标跟踪 |
1920 * 1080 |
3 |
20000± |
2 |
jpg |
txt |
1~ 1.2m |
__ |
卫星影像 |
JL1 |
2021 |
中科院 |
http://sw.chreos.org/challenge/dataset/6 |
|
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
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__ |
__ |
d |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
8-1 |
UCM caption |
图像标题 |
256 * 256 |
3 |
2100 |
21 |
tif |
json |
1foot |
__ |
卫星影像 |
USGS National Map |
2016 |
中科院 |
https://github.com/201528014227051/RSICD_optimal |
https://aistudio.baidu.com/aistudio/datasetdetail/90740 |
8-2 |
Sydney caption |
图像标题 |
500 * 500 |
3 |
613 |
7 |
tif |
json |
0.5m |
__ |
卫星影像 |
GoogleEarth |
2016 |
中科院 |
https://github.com/201528014227051/RSICD_optimal |
https://aistudio.baidu.com/aistudio/datasetdetail/91126 |
8-3 |
RSICD |
图像标题 |
224 * 224 |
3 |
10921 |
30 |
jpg |
json |
__ |
__ |
卫星影像 |
GoogleEarth, BaiduMap, MapABC, Tianditu |
2017 |
IEEE |
https://github.com/201528014227051/RSICD_optimal |
https://aistudio.baidu.com/aistudio/datasetdetail/90307 |
|
|
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
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__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
__ |
|
|
9-1 |
Aerialto Map |
图像生成 |
600 * 600 |
3 |
2094 |
__ |
jpg |
jpg |
__ |
__ |
卫星影像 |
GoogleMaps |
2017 |
UCBerkeley |
https://github.com/phillipi/pix2pix |
https://aistudio.baidu.com/aistudio/datasetdetail/103972 |
9-2 |
SateHaze1k |
图像生成 |
512 * 512 |
3 |
1200 |
__ |
png |
png |
__ |
__ |
卫星影像 |
GF-2, GF-3 |
2017 |
清华大学 |
https://www.dropbox.com/s/k2i3p7puuwl2g59/Haze1k.zip?dl=0 |
https://aistudio.baidu.com/aistudio/datasetdetail/134292 |
9-3 |
WHU MVS |
图像生成 |
768 * 384 |
1 |
28400 |
__ |
png |
__ |
0.1m |
__ |
航拍影像 |
航拍影像 |
2020 |
武汉大学 |
http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/136652 |
9-4 |
WHU Stereo |
图像生成 |
768 * 384 |
1 |
21868 |
__ |
png |
__ |
0.1m |
__ |
航拍影像 |
航拍影像 |
2020 |
武汉大学 |
http://gpcv.whu.edu.cn/data/WHU_MVS_Stereo_dataset.html |
https://aistudio.baidu.com/aistudio/datasetdetail/136652 |
9-5 |
WHU TCL SatMVS 1.0 |
图像生成 |
5120 * 5120 |
1 |
300 |
__ |
tif, jpg |
__ |
2.1m, 2.5m |
__ |
卫星影像 |
ZY3 |
2021 |
武汉大学 |
http://gpcv.whu.edu.cn/data/whu_tlc.html |
https://aistudio.baidu.com/aistudio/datasetdetail/136567 |
9-6 |
WHU TCL SatMVS 2.0 |
图像生成 |
768 * 384 |
1 |
5011 |
__ |
tif |
__ |
2.1m, 2.5m |
__ |
卫星影像 |
ZY3 |
2021 |
武汉大学 |
http://gpcv.whu.edu.cn/data/whu_tlc.html |
https://aistudio.baidu.com/aistudio/datasetdetail/136567 |
9-7 |
DLR-ACD |
图像生成 |
3619 * 5226 |
3 |
33 |
1 |
__ |
__ |
0.045~ 0.15m |
__ |
航拍影像 |
航拍影像 |
2019 |
German Aerospace Center |
https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-12760/22294_read-58354/ |
|
9-8 |
SEN12MS-CR |
图像生成 |
256 * 256 |
13, 2 |
122218 |
__ |
__ |
__ |
__ |
__ |
卫星影像 |
Sentinel1, Sentinel2 |
2020 |
TUM |
https://mediatum.ub.tum.de/1554803 |
|