FUSION OF SAR AND OPTICAL REMOTE SENSING DATA - CHALLENGES AND RECENT TRENDS

被引：0

作者：

Schmitt, Michael ^{[1
]}

Tupin, Florence ^{[2
]}

Zhu, Xiao Xiang ^{[1
,3
]}

机构：

[1] Tech Univ Munich, Signal Proc Earth Observat, Munich, Germany

[2] Univ Paris Saclay, Telecom ParisTech, LTCI, Paris, France

[3] German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, Wessling, Germany

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

synthetic aperture radar (SAR); optical imagery; remote sensing; data fusion; ROAD NETWORK EXTRACTION; IMAGE REGISTRATION; MULTISENSOR DATA; TIME-SERIES; CLASSIFICATION; MISSION;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper, we summarize challenges, proposed solutions and recent trends in the field of SAR-optical remote sensing data fusion. Although being a pre-processing step before the actual fusion-by-estimation, it is shown that matching and coregistration is one of the core challenges in that regard, which is mainly due to the strongly different geometric and radiometric properties of the two observation types. We then review some of the published fusion methods and discuss the future trends of this topic.

引用

页码：5458 / 5461

页数：4

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