Deep Learning in Remote Sensing

被引：9

作者：

Zhu, Xiao Xiang ^{[1
,2
,3
,4
,5
,6
]}

Tuia, Devis ^{[7
,8
,9
,10
,11
]}

Mou, Lichao ^{[2
,6
,12
]}

Xia, Gui-Song ^{[13
,14
]}

Zhang, Liangpei ^{[15
]}

Xu, Feng ^{[16
,17
]}

Fraundorfer, Friedrich ^{[18
,19
,20
,21
,22
]}

机构：

[1] TUM, Signal Proc Earth Observat, Munich, Germany

[2] German Aerosp Ctr DLR, Cologne, Germany

[3] DLR, Remote Sensing Technol Inst, Team Signal Anal, Cologne, Germany

[4] Helmholtz Young Investigator Grp SiPEO, Munich, Germany

[5] DLR, Cologne, Germany

[6] TUM, Munich, Germany

[7] Univ Valencia, Valencia, Spain

[8] Univ Colorado, Boulder, CO 80309 USA

[9] Ecole Polytech Fed Lausanne, Lausanne, Switzerland

[10] Wageningen Univ, GeoInformat Sci & Remote Sensing Lab, Wageningen, Netherlands

[11] Univ Zurich, Zurich, Switzerland

[12] Univ Freiburg, Comp Vis Grp, Freiburg, Germany

[13] Wuhan Univ, Key Lab Informat Engn Surveying Mapping & Remote, Wuhan, Hubei, Peoples R China

[14] Paris Dauphine Univ, CNRS, Ctr Rech Math Decis, Paris, France

[15] Wuhan Univ, Wuhan, Hubei, Peoples R China

[16] Sch Informat Sci & Technol, Hefei, Anhui, Peoples R China

[17] Key Lab for Informat Sci Electromagnet Waves, Shanghai, Peoples R China

[18] Graz Univ Technol, Graz, Austria

[19] Univ Kentucky, Lexington, KY 40506 USA

[20] Univ N Carolina, Chapel Hill, NC USA

[21] Swiss Fed Inst Technol, Zurich, Switzerland

[22] Tech Univ Munich, Fac Civil Geo & Environm Engn, Munich, Germany

来源：

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE | 2017年 / 5卷 / 04期

基金：

中国国家自然科学基金; 欧洲研究理事会; 瑞士国家科学基金会;

关键词：

CONVOLUTIONAL NEURAL-NETWORK; OBJECT DETECTION; HIGH-RESOLUTION; DATA-FUSION; SCENE CLASSIFICATION; VEHICLE DETECTION; IMAGE RETRIEVAL; SAR ATR; REPRESENTATION; FEATURES;

D O I：

10.1109/MGRS.2017.2762307

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

引用

页码：8 / 36

页数：29

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