收集网络上公开的遥感数据集,欢迎补充
Ref:
https://blog.csdn.net/weixin_36670529/article/details/84580431?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
https://blog.csdn.net/dangdangliu/article/details/104323166
http://www.graphnetcloud.cn/page89
https://mp.weixin.qq.com/s/weL3hqqBD0P-donV2an2yw
https://mp.weixin.qq.com/s/xU9zYTMdhUgmcuMUSuhzpw
https://zhangbin0917.github.io/2018/06/12/%E9%81%A5%E6%84%9F%E6%95%B0%E6%8D%AE%E9%9B%86/
http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm#remote
注:
目录
深度学习中的遥感影像数据集
影像分类
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-CB
RSI-CB128
RSI-CB256
10)RSSCN7 Dataset
11)EuroSAT
12)PatternNet
13)Planet: Understanding the Amazon from Space
14)SAT-4 and SAT-6
15)RS_C11
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)SAR-Ship-Dataset
17)CrowdAI Mapping Challenge
*)ITCVD
*)Dstl Satellite Imagery Feature Detection
*)2018 Open AI Tanzania Building Footprint Segmentation Challenge
*)Functional Map of the World Challenge
*)Airbus Ship Detection Challenge
*)OpenSARShip
*)ccmData2008
*)MASATI dataset - MAritime SATellite Imagery dataset
*)MAFAT Challenge - Fine-Grained Classification of Objects from Aerial Imagery
实例分割
1)iSAID
语义分割-多分类
1)GID Dataset
2)DLRSD
3)ISPRS 2D Semantic Labeling Contest
Vaihingen dataset
Postdam dataset
4)DeepGlobe Land Cover Classification Challenge
5)Zurich Summer Dataset
*)SEN12MS
*)Slovenia 2017 Land Cover Classification Dataset
EvLab-SS Dataset
*)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)
3. Satellite dataset Ⅱ (East Asia)
*)Massachusetts Road and Building Detection Datasets
Massachusetts Roads Dataset
Massachusetts Buildings Dataset
*)Aerial Image Segmentation Dataset
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
7)Season-varying Change Detection Dataset
8)Onera Satellite Change Detection
*)AIST Building Change Detection
*)Urban Atlas Change 2012-2018
*)High Resolution Change Detection
目标跟踪
1)Dataset-UAV-123
1)RSICD
2)UCM Captions
3)Sydney Captions
其他
SpaceNet Challenge
Size:256*256;
Num:21classes*100=2100pic
http://weegee.vision.ucmerced.edu/datasets/landuse.html
Size:600*600;
Num:19classes*50±≈1000pic
http://captain.whu.edu.cn/repository.html
http://captain.whu.edu.cn/datasets/WHU-RS19.zip
Size:600*600;
Num:30classes*300±≈10000pic
http://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
http://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
http://www.escience.cn/people/JunweiHan/NWPU-RESISC45.html
https://pan.baidu.com/s/1mifR6tU#list/path=%2F
Size:256*256
Num:10class*2700±≈1860pic
http://crabwq.github.io/
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
http://bigearth.net/
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:400*400
Num:7classes,2800pic;
https://pan.baidu.com/s/1slSn6Vz
https://sites.google.com/site/qinzoucn/documents/readme_RSSCN7.pdf?attredirects=0&d=1
https://sites.google.com/site/qinzoucn/documents
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
http://csc.lsu.edu/~saikat/deepsat/
https://drive.google.com/uc?id=0B0Fef71_vt3PUkZ4YVZ5WWNvZWs&export=download
Size:512*512
Num: 11 classes,1232pic
https://www.researchgate.net/publication/271647282_RS_C11_Database/comments
https://pan.baidu.com/s/1mhagndY
https://hyper.ai/datasets/5443
Num:15classes,2806pic,188282instances
https://captain-whu.github.io/DOTA/index.html
http://captain.whu.edu.cn/DOTAweb/dataset.html
Num:16classes,2806pic,400000±instances
http://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
http://www.escience.cn/people/JunweiHan/NWPUVHR10dataset.html
https://pan.baidu.com/s/1hqwzXeG#list/path=%2F
Num:23463pic,190288instances
http://www.escience.cn/people/JunweiHan/DIOR.html
https://pan.baidu.com/s/1iLKT0JQoKXEJTGNxt5lSMg#list/path=%2F
Num:60classes,1000000±instances
http://xviewdataset.org/
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://ucassdl.cn/
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
http://levir.buaa.edu.cn/Code.htm
https://pan.baidu.com/s/1geTwAVD
Num:
car, 32716instances
negative, 58247instances
https://gdo152.llnl.gov/cowc/
https://gdo152.llnl.gov/cowc/download/
Num:1class(ship),(436+181+444)pic,(1207+541+1228)instances
https://sites.google.com/site/hrsc2016/
http://www.escience.cn/people/liuzikun/DataSet.html
Num:1class(ship),31pic,461instances
http://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
Size:256*256
Num:1class(ship),43,819pic,
https://github.com/CAESAR-Radi/SAR-Ship-Dataset
Size:300*300
class:build,(280741+60317)pic
https://www.crowdai.org/challenges/mapping-challenge
https://www.jianshu.com/p/90efc39975da
https://pan.baidu.com/s/1wm4WtOLGiknaqAJSrlzufA 密码:xho2
Num:1class(car),(135+38)pic,(23543+5545)instances
https://eostore.itc.utwente.nl:5001/fsdownload/zZYfgbB2X/ITCVD
链接:https://pan.baidu.com/s/1S77GCYBpAGjD-BSQjpKJ8g 提取码:kzlh
Num:10class
https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/data
https://docs.google.com/spreadsheets/d/1tP133OqpwvkzHnkmS_3nezpTJMq06tpPM6P2qU6kaZ4/edit?usp=sharing
https://competitions.codalab.org/competitions/20100
Num:63class,31pic,1000000instances
https://www.iarpa.gov/challenges/fmow.html
https://www.kaggle.com/c/airbus-ship-detection
http://opensar.sjtu.edu.cn/
(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
Size:512*512
Num:6classes,6212pic
https://www.iuii.ua.es/datasets/masati/
https://competitions.codalab.org/competitions/19854
Num:15classes,2806pic,655451instances
https://captain-whu.github.io/iSAID/
Size:6800*7200;6800*7200
Num:5classes,150pic;15classes,10pic
http://captain.whu.edu.cn/repository.html
https://pan.baidu.com/s/1c1lP-rlNjbfCPeaKPFteuA
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
链接:https://pan.baidu.com/s/1unm9jrdmaZKWKEH0wxK7bg 提取码:f5lj
Num:6classes,33pic
http://www2.isprs.org/commissions/comm3/wg4/2d-sem-label-vaihingen.html
Num:6classes,38pic
http://www2.isprs.org/commissions/comm3/wg4/2d-sem-label-potsdam.html
需要在http://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
他人分享链接:
Num:9classes, 20pic
https://sites.google.com/site/michelevolpiresearch/data/zurich-dataset
Num:3classes, 180748pic
https://mediatum.ub.tum.de/1474000
Size:000 * 5000
Num:940 EOPatches
http://eo-learn.sentinel-hub.com/
Size:4500*4500
Num:11classes, 35pic
http://earthvisionlab.whu.edu.cn/zm/SemanticSegmentation/index.html
Size:720*720
Num:11classes,3269pic
https://github.com/ishann/aeroscapes
Size: 1500*1500
Num: 137+10+4=151pic
https://www.cs.toronto.edu/
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/3.%20The%20cropped%20aerial%20image%20tiles%20and%20raster%20labels.zip
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html
Size:512*512
class:build,204 pic
https://study.rsgis.whu.edu.cn/pages/download/Satellite%20dataset%20Ⅰ%20(global%20cities).zip
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html
Size:512*512
class:build, 17388pic, 34085 buildings
https://study.rsgis.whu.edu.cn/pages/download/Satellite%20dataset%20Ⅱ%20(East%20Asia).zip
https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html
https://www.cs.toronto.edu/~vmnih/data/
Size:1500*1500
class:build,(137+10+4)pic
https://www.cs.toronto.edu/~vmnih/data/
class:(building, road, and background)
https://zenodo.org/record/1154821#.XvAcO_kzaUl
Size:7200*6000
Num:1pic* 2time
http://sigma.whu.edu.cn/newspage.php?q=2019_03_26
Size:952*640
Num:13pic *2time
http://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
class:build, 12796——>16077 buildings
https://study.rsgis.whu.edu.cn/pages/download/Building%20change%20detection%20dataset.zip
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://land.copernicus.eu/local/urban-atlas/urban-atlas-change-2012-2018
http://www.pshrcd.com/#/intro
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
http://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