Improving feature extraction in satellite SAR images by an interactive fuzzy fusion of multi-temporal data

被引：0

作者：

Stancu, S ^{[1
]}

Bujor, FT ^{[1
]}

Trouvé, E ^{[1
]}

Mauris, G ^{[1
]}

Bolon, P ^{[1
]}

Rudant, JP ^{[1
]}

机构：

[1] Univ Savoie, Ecole Super Ingenieurs Annecy, Lab Automat & Micro Informat Ind, F-74016 Annecy, France

来源：

IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年

关键词：

SAR images; road detection; fuzzy fusion;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method based on fuzzy fusion to improve feature extraction in satellite SAR images. Two road detectors are applied on SAR images and their output is merged interactively. Experimental results are presented with ERS1/2 SAR images in different configurations including ascending/descending orbits and georeferenced images.

引用

页码：75 / 78

页数：4

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