BUILDING CHANGE DETECTION IN A COUPLE OF OPTICAL AND SAR HIGH RESOLUTION IMAGES

被引：3

作者：

Barthelet, E. ^{[1
,2
]}

Mercier, G. ^{[1
]}

Denise, L. ^{[2
]}

机构：

[1] Telecom Bretagne, Inst Telecom, CNRS UMR Lab STICC 3192, Team CID, Technopole Brest Iroise,CS 83818, F-29238 Brest 3, France

[2] Thales Commun C4ISR Syst, Dept Image Intelligence, F-91883 Massy, France

来源：

2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2011年

关键词：

Building extraction; building change detection;

D O I：

10.1109/IGARSS.2011.6049692

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel approach for building extraction in high resolution optical and SAR images and its application to building change detection are presented in this paper. The proposed object-based building extraction technique relies on an hypothesis generation-optimization-validation scheme, whose estimation and detection performances are characterized on Quickbird and TerraSAR-X semi-urban images. The introduced building extraction approach is then applied to building change detection in a pair of high resolution heterogeneous images.

引用

页码：2393 / 2396

页数：4

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