收集网络上公开的遥感数据集，欢迎补充 Ref： https://blog.csdn.net/flopf1016821/article/details/79052322 https://blog.csdn.net/dangdangliu/article/details/104323166 https://www.graphnetcloud.cn/page89 https://mp.weixin.qq.com/s/weL3hqqBD0P-donV2an2yw https://mp.weixin.qq.com/s/xU9zYTMdhUgmcuMUSuhzpw 以下数据集均为网上开源数据及，且均可访问，多数数据集已下载或保存下载连接，若部分链接不可访问，可以评论或者留言 目录 13）Planet: Understanding the Amazon from Space 10）Planet: Understanding the Amazon from Space 15）Airbus Ship Detection Challenge 16）Dstl Satellite Imagery Feature Detection *)2018 Open AI Tanzania Building Footprint Segmentation Challenge *）MASATI dataset – MAritime SATellite Imagery dataset *）MAFAT Challenge – Fine-Grained Classification of Objects from Aerial Imagery 3）ISPRS 2D Semantic Labeling Contest 4）DeepGlobe Land Cover Classification Challenge 1）Road and Building Detection Datasets 3）38-Cloud: A Cloud Segmentation Dataset 2.Satellite dataset I (global cities) 3. Satellite dataset Ⅱ (East Asia) *）Massachusetts Road and Building Detection Datasets Massachusetts Buildings Dataset 2）SZTAKI AirChange Benchmark Set 6）WHU ： Building change detection dataset 7）Season-varying Change Detection Dataset 8）Onera Satellite Change Detection *）AIST Building Change Detection Size：256*256； Num：21classes*100=2100pic https://weegee.vision.ucmerced.edu/datasets/landuse.html Size：600*600； Num：19classes*50±≈1000pic https://captain.whu.edu.cn/repository.html https://captain.whu.edu.cn/datasets/WHU-RS19.zip Size：600*600； Num：30classes*300±≈10000pic https://captain.whu.edu.cn/repository.html https://captain-whu.github.io/AID/ https://pan.baidu.com/s/1mifOBv6#list/path=%2F Size：200*200； Num：12classes*200=2400pic https://www.lmars.whu.edu.cn/prof_web/zhongyanfei/e-code.html Size：400*400； Num：7classes*400=2400pic https://sites.google.com/site/qinzoucn/documents https://pan.baidu.com/s/1slSn6Vz Size：256*256 Num：45classes*700=31500pic https://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html https://pan.baidu.com/s/1mifR6tU#list/path=%2F Size：256*256 Num：10class*2700±≈1860pic https://drive.google.com/open?id=1Fk9a0DW8UyyQsR8dP2Qdakmr69NVBhq9 Num：590326 image patches，each patch include Size：120*120，10m bands 60*60，20m bands 20*20，60m bands Size：128×128 Num：45classes*800±≈36000pic https://github.com/lehaifeng/RSI-CB https://pan.baidu.com/s/1pLnZQ23 Size：256×256 Num：35classes*690±≈24000pic https://github.com/lehaifeng/RSI-CB https://pan.baidu.com/s/1bpIQ0IN Size：64*64 Num：31class*60=27000pic https://github.com/phelber/eurosat# https://www.kesci.com/home/dataset/5e6b3125dd480d002c21c46c Size：256*256 Num：38classes*800=30400pic https://sites.google.com/view/zhouwx/dataset#h.p_Tgef10WTuEFr https://drive.google.com/file/d/127lxXYqzO6Bd0yZhvEbgIfz95HaEnr9K/view?usp=sharing Num：17class https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/data https://www.kesci.com/home/dataset/5dfc38662823a10036ada832 Size：28*28 Num：4classes，500000pic；6classes，405000pic https://csc.lsu.edu/~saikat/deepsat/ https://drive.google.com/uc?id=0B0Fef71_vt3PUkZ4YVZ5WWNvZWs&export=download Num：15classes，2806pic，188282instances https://captain-whu.github.io/DOTA/index.html https://captain.whu.edu.cn/DOTAweb/dataset.html Num：16classes，2806pic，400000±instances https://captain.whu.edu.cn/DOTAweb/ https://captain-whu.github.io/DOAI2019/dataset.html Num：13classes，21761pic，55740instances https://github.com/CrazyStoneonRoad/TGRS-HRRSD-Dataset Num：10classes，800pic https://www.escience.cn/people/JunweiHan/NWPUVHR10dataset.html https://pan.baidu.com/s/1hqwzXeG#list/path=%2F Num：23463pic，190288instances https://www.escience.cn/people/JunweiHan/DIOR.html https://pan.baidu.com/s/1iLKT0JQoKXEJTGNxt5lSMg#list/path=%2F Num：60classes，1000000±instances https://challenge.xviewdataset.org/data-download Num： aircraft：4993 aircrafts in 446 images. playground： 191 playgrounds in 189 images. overpass： 180 overpass in 176 overpass. oiltank：1586 oiltanks in 165 images. https://github.com/RSIA-LIESMARS-WHU/RSOD-Dataset- Num： car：7114 cars in 510 images. plane： 7482 plane in 1000 images. https://onedrive.hyper.ai/home/UCAS-AOD/data Num：1classes(car)，900pic，1800instances https://sourceforge.net/projects/oirds/ Num：3classes(cars)，982pic，2349instances https://downloads.greyc.fr/vedai/ Size：128*128 Num： damage build,，(10000+90000+2000+2000)pic no damage build https://www.kaggle.com/kmader/satellite-images-of-hurricane-damage https://www.kesci.com/home/dataset/5da6e8a6c83fb40042073e4f/document Size：800 * 600 Num：3class，22000pic，11000instances https://levir.buaa.edu.cn/Code.htm https://pan.baidu.com/s/1geTwAVD Num： car， 32716instances negative， 58247instances https://gdo152.llnl.gov/cowc/download/ Num：1class(ship)，(436+181+444)pic，(1207+541+1228)instances https://sites.google.com/site/hrsc2016/ https://www.escience.cn/people/liuzikun/DataSet.html Num：1class(ship)，31pic，461instances https://radars.ie.ac.cn/web/data/getData?dataType=SARDataset Num：1class(ship)，192556pic， https://blog.csdn.net/weixin_42880443/article/details/82015347 链接: https://pan.baidu.com/s/1RbGPNr05orfEbUA0u9CmJg 密码: p9b8 Num：10class https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/data （忘记了是从哪里下载的，该名称为压缩包名称） Num：425pic https://download.csdn.net/download/nominior/12341007 https://docs.google.com/spreadsheets/d/1tP133OqpwvkzHnkmS_3nezpTJMq06tpPM6P2qU6kaZ4/edit?usp=sharing https://competitions.codalab.org/competitions/20100 Size：512*512 Num：6classes，6212pic https://www.iuii.ua.es/datasets/masati/ Num：15classes，2806pic，655451instances https://captain-whu.github.io/iSAID/ Size：6800*7200；6800*7200 Num：5classes，150pic；15classes，10pic https://captain.whu.edu.cn/repository.html 链接：https://pan.baidu.com/s/1SprxRLxs4kx_s7bnSI7jNw 提取码：6xjt Size：256*256； Num：21classes，2100pic 基于UC Merced Land-Use Data Set进行标注 https://sites.google.com/view/zhouwx/dataset#h.p_hQS2jYeaFpV0 https://drive.google.com/file/d/1DtKiauowCB0ykjFe8v0OVvT76rEfOk0v/view Num：6classes，33pic https://www2.isprs.org/commissions/comm3/wg4/2d-sem-label-vaihingen.html Num：6classes，38pic https://www2.isprs.org/commissions/comm3/wg4/2d-sem-label-potsdam.html 需要在https://www2.isprs.org/commissions/comm3/wg4/2d-sem-label-potsdam.html中按要求发送邮件后获取下载连接 Size：2448*2448 Num：7classes, 803pic https://competitions.codalab.org/competitions/18468#participate-get_starting_kit 需要在https://competitions.codalab.org/forums/15208/注册提交申请，获取下载权限 Num：9classes, 20pic https://sites.google.com/site/michelevolpiresearch/data/zurich-dataset Size: 1500*1500 Num: 137+10+4=151pic Size：5000*5000 class：build https://project.inria.fr/aerialimagelabeling/ https://hyper.ai/datasets/5428 Size：384*384 class：cloud，(8400 +9201)pic https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset Size：512*512 class：build，8189 pic，187000 buildings https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html Size：512*512 https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html Size：512*512 https://www.cs.toronto.edu/~vmnih/data/ Size：1500*1500 class：build，(137+10+4)pic https://www.cs.toronto.edu/~vmnih/data/ Size：7200*6000 Num：1pic* 2time https://sigma.whu.edu.cn/newspage.php?q=2019_03_26 Size：952*640 Num：13pic *2time https://web.eee.sztaki.hu/remotesensing/airchange_benchmark.html 登录名：sztaki，密码：deva Num：14pic * 2time https://rcdaudt.github.io/oscd/ size：984*740；600*500；390*200 Num：3pic* 2time https://gitlab.citius.usc.es/hiperespectral/ChangeDetectionDataset size：463*241 Num：1pic * 2time https://arxiv.org/abs/1905.01662v1 https://share.weiyun.com/5ugrczK https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html size：4715*2700 Num：7pic*2time https://drive.google.com/file/d/1GX656JqqOyBi_Ef0w65kDGVto-nHrNs9/edit Num：14pic*2time https://rcdaudt.github.io/oscd/ https://partage.mines-telecom.fr/index.php/s/G93tRIAgLs1sVBM https://partage.mines-telecom.fr/index.php/s/2D6n03k58ygBSpu Size：160*160；128*128 Num：(8506+8444)pic * 2time https://blog.csdn.net/dangdangliu/article/details/104323166 https://github.com/gistairc/ABCDdataset https://hyper.ai/datasets/5154 https://hyper.ai/tracker/magnet?torrent=7087 Size：224*224 Num：10921pic，5sentences/pic https://github.com/201528014227051/RSICD_optimal https://pan.baidu.com/s/1bp71tE3 https://drive.google.com/open?id=0B1jt7lJDEXy3aE90cG9YSl9ScUk Num：2100pic，5sentences/pic https://pan.baidu.com/s/1mjPToHq https://github.com/201528014227051/RSICD_optimal Num：613pic，5sentences/pic https://pan.baidu.com/s/1hujEmcG https://github.com/201528014227051/RSICD_optimal 包括： https://spacenetchallenge.github.io/datasets/datasetHomePage.html 需要使用AMS公共数据集访问下载
场景分类
1）UC Merced Land-Use Data Set
2）WHU-RS19
3）AID
4）SIRI-WHU Data Set
5）RSSCN7 Data Set
6）NWPU-RESISC45 dataset
7）OPTIMAL-31
8）BigEarthNet
9）RSI-CB128
10）RSI-CB256
11）EuroSAT
12）PatternNet
13）Planet: Understanding the Amazon from Space
14）SAT-4 and SAT-6
目标检测
1）DOTA， DOAI
v1.0 DOTA
v1.5 DOAI
2）TGRS-HRRSD-Dataset
3）NWPU VHR-10 dataset
4）DIOR dataset
5）xView
6）RSOD-Dataset
7）UCAS-AOD
8）OIRDS
9）VEDAI
10）Planet: Understanding the Amazon from Space
11）LEVIR
12）COWC
13）HRSC2016
14）AIR-SARShip-1.0
15）Airbus Ship Detection Challenge
16）Dstl Satellite Imagery Feature Detection
*）ccmData2008
*)2018 Open AI Tanzania Building Footprint Segmentation Challenge
*）ITCVDNum：1class(car)，(135+38)pic，(23543+5545)instanceshttps://eostore.itc.utwente.nl:5001/fsdownload/zZYfgbB2X/ITCVD*）MASATI dataset – MAritime SATellite Imagery dataset*）MAFAT Challenge – Fine-Grained Classification of Objects from Aerial Imageryhttps://competitions.codalab.org/competitions/19854实例分割
1）iSAID
语义分割
1）GID Dataset
https://pan.baidu.com/s/1c1lP-rlNjbfCPeaKPFteuA2）DLRSD
3）ISPRS 2D Semantic Labeling Contest
Vaihingen dataset
Postdam dataset
4）DeepGlobe Land Cover Classification Challenge
5)Zurich Summer Dataset
*)AeroscapesSize：720*720Num：11classes，3269pichttps://github.com/ishann/aeroscapes二分类
1）Road and Building Detection Datasets
2）INRIA aerial image dataset
3）38-Cloud: A Cloud Segmentation Dataset
4）WHU Building Dataset
1.Aerial imagery dataset
2.Satellite dataset I (global cities)
class：build，204 pic
3. Satellite dataset Ⅱ (East Asia)
class：build，17388pic，34085 buildings
*）Massachusetts Road and Building Detection Datasets
Massachusetts Roads Dataset
Massachusetts Buildings Dataset
*）CrowdAI Mapping ChallengeSize：300*300class：build，（280741+60317）pichttps://www.crowdai.org/challenges/mapping-challenge 变化检测
1）MtS-WH
2）SZTAKI AirChange Benchmark Set
3）OSCD
4）Change Detection Dataset
5） River Dataset
6）WHU ： Building change detection dataset
class：build，12796——>16077 buildings
7）Season-varying Change Detection Dataset
8）Onera Satellite Change Detection
*）AIST Building Change Detection
目标跟踪
1）Dataset-UAV-123
图像标题 / Image caption
1）RSICD
2）UCM Captions
3）Sydney Captions
其他
SpaceNet Challenge
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