| 序号 | 数据集名称 | 任务类型 | 影像尺寸 | 影像
通道 | 影像
数量 | 标注
类别 | 影像
格式 | 标注
格式 | 空间
分辨率 | 光谱
分辨率 | 影像类型 | 影像来源 | 发布时间 | 发布机构 | 源地址 | aistudio地址 |
| ----- | ----------------------------------------------------------- | ---------- | --------------------------------------- | --------- | -------- | ------ | -------- | --------------- | ------------------ | ------------ | ------------------ | ---------------------------------------------------- | -------- | ---------------------------------------------------------- | ------------------------------------------------------------ | -------------------------------------------------------- |
| 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 | 27,000 | 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 | 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 |
| 1-14 | 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 |
| 1-15 | 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 |
| 1-16 | 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 |
| 1-17 | 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 |
| 1-18 | 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 |
| 1-19 | 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 |
| 1-20 | 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 |
| 1-21 | 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 |
| 1-22 | 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 |
| 1-23 | 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 |
| 1-24 | 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 |
| 1-25 | 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 |
| 1-26 | 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 |
| 1-27 | braziliancoffeescenes | 图像分类 | 64 * 64 | 3 | 2,876 | | | | | | 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 | |
| 1-28 | 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 | |
| 1-29 | rscupcls | 图像分类 | 512 * 512 | 3 | 197,121 | 45 | jpg | folder name | | | | | 2019 | | http://rscup.bjxintong.com.cn/#/theme/1 | |
| | | | | | | | | | | | | | | | | |
| 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 | 7,389 | 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 | FAIR1M | 目标检测 | 1000 * 100~100000 * 10000 | 3 | 15000 | 37 | tif | OBB | 0.3~ 0.8m | | 卫星影像 | Gaofensatellites, GoogleEarth | 2021 | 中科院 | [http://gaofen-challenge.com](http://gaofen-challenge.com/) | https://aistudio.baidu.com/aistudio/datasetdetail/78453 |
| 2-21 | 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 |
| 2-22 | 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 |
| 2-23 | 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 |
| 2-24 | 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 |
| 2-25 | 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/ | |
| 2-26 | 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 | |
| 2-27 | CARPK | 目标检测 | | | 1,573 | | png | | | | 航拍影像 | 航拍影像 | 2017 | 台湾国立大学 | https://lafi.github.io/LPN/ | |
| 2-28 | 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 | |
| 2-29 | rscupdet | 目标检测 | 1024 * 1024 | 3 | 2423 | | png | OBB | | | 卫星影像 | GF, JL, GoogleEarth, Aerial | 2019 | | http://rscup.bjxintong.com.cn/#/theme/2 | |
| | | | | | | | | | | | | | | | | |
| 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 | | | | 1 | tif | | 0.3m | | 航拍影像 | | 2017 | Inria Sophia Antipolis-Mediterranee, TITANEte | 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 | 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 |
| 3-11 | 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 |
| 3-12 | 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 |
| 3-13 | 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 |
| 3-14 | 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 |
| 3-15 | 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 |
| 3-16 | 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 |
| 3-17 | 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 |
| 3-18 | 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 |
| 3-19 | 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 |
| 3-20 | 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 |
| 3-21 | 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 |
| 3-22 | 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 |
| 3-23 | 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 |
| 3-24 | Deep Globe Road Detection Challenge | 图像分割 | 1024 * 1024 | 3、14 | 6,226 | 1 | jpg | png | 0.5m | | 卫星影像 | DigitalGlobe | 2018 | CVPR | http://deepglobe.org/challenge.html | https://aistudio.baidu.com/aistudio/datasetdetail/55682 |
| 3-25 | 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 |
| 3-26 | 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 |
| 3-27 | WHU Building Dataset, Aerial imagery dataset | 图像分割 | 512 * 512 | 3 | 8,189 | 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 |
| 3-28 | 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 |
| 3-29 | 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://hub.fastgit.org/rmcong/EORSSD-dataset]https:/hub.fastgit.org/rmcong/EORSSD-dataset) | https://aistudio.baidu.com/aistudio/datasetdetail/98372 |
| 3-30 | 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 |
| 3-31 | 95 Cloud: An Extension to 38 Cloud Dataset | 图像分割 | 384 * 384 | 4 | 34,701 | 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 |
| 3-32 | 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 |
| 3-33 | 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 |
| 3-34 | 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 |
| 3-35 | 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 |
| 3-36 | UDD5 | 图像分割 | 4096± * 2160± | 3 | 160 | 5 | png | png | | | 无人机数据 | DJIPhantom4 | 2018 | 北京大学 | https://github.com/MarcWong/UDD | https://aistudio.baidu.com/aistudio/datasetdetail/75675 |
| 3-37 | UDD6 | 图像分割 | 4096± * 2160± | 3 | 141 | 6 | png | png | | | 无人机数据 | DJIPhantom4 | 2018 | 北京大学 | https://github.com/MarcWong/UDD | https://aistudio.baidu.com/aistudio/datasetdetail/75675 |
| 3-38 | 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 |
| 3-39 | 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 |
| 3-40 | BDCI2017 | 图像分割 | 8000± * 8000± | 3 | 5 | 5 | png | png | | | | | 2017 | | https://www.datafountain.cn/competitions/270 | |
| 3-41 | 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 | |
| 3-42 | rscupseg | 图像分割 | 7200 * 6800 | 4 | 20 | 16 | tif | tif | 4m | | 卫星影像 | GF2 | 2019 | | http://rscup.bjxintong.com.cn/#/theme/3 | |
| 3-43 | 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 | |
| 3-44 | “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 | |
| 3-45 | 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 | |
| 3-46 | 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 | |
| 3-47 | rsipacseg | 图像分割 | 512 * 512 | 3、4 | 70000 | 9、47 | tif | png | 0.8~ 2m | | | | 2021 | 武汉大学 | http://rsipac.whu.edu.cn/subject_one | |
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| 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 | 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 |
| 4-9 | 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 |
| 4-10 | 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 |
| 4-11 | 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 |
| 4-12 | 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 |
| 4-13 | 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 |
| 4-14 | 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 |
| 4-15 | 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 |
| 4-16 | [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 | |
| 4-17 | rscupcd | 变化检测 | 960 * 960 | 4 | 40 | 1 | tif | tif | | | | | 2020 | | http://rscup.bjxintong.com.cn/#/theme/4 | |
| 4-18 | PRCV2021cd | 变化检测 | 512 * 512 | 3 | 16000 | 1 | png | png | | | | | | | | |
| 4-19 | rsipac2021cd | 变化检测 | 512 * 512 | 3 | 6,388 | 1 | tif | png | 1~ 2m | | | | 2021 | 武汉大学 | http://rsipac.whu.edu.cn/subject_two | https://aistudio.baidu.com/aistudio/datasetdetail/126838 |
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| 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 | 341,058 | 1 | jpg | json | | | 卫星影像 | GoogleMap | 2018 | crowdAI | [https://www.crowdai.org/challenges/mapping-challengehttps://www.jianshu.com/p/90efc39975da](https://www.crowdai.org/challenges/mapping-challenge https:/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 | 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 | 109,161 | 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 | rscuptrc | 目标跟踪 | 1000± * 1000± | 3 | 6000 | 4 | jpg | txt | | | | | 2019 | | http://rscup.bjxintong.com.cn/#/theme/5 | |
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| 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 |
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| 11-1 | Salinas scene | 图像分割 | 512 * 217 | 224 | 1 | 16 | mat | mat | 3.7m | 10nm | 航拍影像 | 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 |
| 11-2 | Salinas Ascene | 图像分割 | 83 * 86 | 224 | 1 | 6 | mat | mat | 3.7m | 10nm | 航拍影像 | 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 |
| 11-3 | 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 |
| 11-4 | Pavia University scene | 图像分割 | 610 * 610 | 103 | 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 |
| 11-5 | Washington DCMALL | 图像分割 | 1280 * 307 | 191 | 1 | 7 | tif | tif | | 10nm | 航拍影像 | 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 |
| 11-6 | Ikennedy Space Center | 图像分割 | 512 * 614 | 176 | 1 | 13 | mat | mat | 0.18m | 10nm | 航拍影像 | 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 |
| 11-7 | Botswana | 图像分割 | 1476 * 256 | 145 | 1 | 14 | mat | mat | 30m | | 卫星影像 | EO1 | 2014 | | http://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes | https://aistudio.baidu.com/aistudio/datasetdetail/82578 |
| 11-8 | Indian Pines | 图像分割 | 145 * 145、614 * 1848、2678 * 614 | 224 | 3 | 16 | tif | tif | | 10nm | 航拍影像 | 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 |
| 11-9 | HyRANK | 图像分割 | 250± * 1000± | 176 | 5 | 14 | tif | tif | 30m | | 卫星影像 | EO1 | 2018 | National Technical University of Athen | https://www2.isprs.org/commissions/comm3/wg4/hyrank/ | https://aistudio.baidu.com/aistudio/datasetdetail/80840 |
| 11-10 | XiongAn hyperspectral dataset | 图像分割 | 3750 * 1580 | 250 | 1 | 19 | img | img | 0.5m | 2.4nm | 航拍影像 | 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 |
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| 12-1 | Change Detection Dataset | 变化检测 | 984 * 740、600 * 500、390 * 200 | 224 | 6 | 3、5 | mat | mat | | | 卫星影像，航拍影像 | 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 |
| 12-2 | river chang dataset | 变化检测 | 463 * 241 | 196 | 2 | 1 | mat | mat | 30m | 10nm | 卫星影像 | EO1Hyperion | 2019 | 西北工业大学 | http://crabwq.github.io/ | https://aistudio.baidu.com/aistudio/datasetdetail/98802 |
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| 21-1 | 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 |
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| 22-1 | SSDD | 目标检测 | 500 * 500 | 1 | 1160 | 1 | jpg | HBB, OBB | 1~ 15m | | SAR | RadarSat2, TerraSARX, Sentinel1 | 2017 | 武汉大学 | https://zhuanlan.zhihu.com/p/58404659 | https://aistudio.baidu.com/aistudio/datasetdetail/54806 |
| 22-2 | 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 |
| 22-3 | 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 |
| 22-4 | 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 |
| 22-5 | 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 |
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| 23-1 | 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 |