Battle damage assessment with change detection of SAR images

De Yun Zhou, Li Na Zeng, Kai Zhang, Kun Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

A Battle Damage Assessment (BDA) algorithm with change detection of Synthetic Aperture Radar (SAR) images is established. Aiming at the difficulty of accurately distinguishing the attacked and non-attacked areas within a large swath SAR scene, SAR images are divided into small patches, and Scale Invariant Feature Transform (SIFT) semantic features are extracted for each of them. According to the semantic features of the two SAR images imaging before and after attack, change area is detected and evaluated in terms of battle damage assessment. The proposed method can significantly reduce the influence of the scattering intensity difference of SAR images. Moreover, damage level is judged by quantitative calculation from the change detection results, and BDA is achieved.

源语言英语
主期刊名Proceedings of the 34th Chinese Control Conference, CCC 2015
编辑Qianchuan Zhao, Shirong Liu
出版商IEEE Computer Society
193-197
页数5
ISBN(电子版)9789881563897
DOI
出版状态已出版 - 11 9月 2015
活动34th Chinese Control Conference, CCC 2015 - Hangzhou, 中国
期限: 28 7月 201530 7月 2015

出版系列

姓名Chinese Control Conference, CCC
2015-September
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议34th Chinese Control Conference, CCC 2015
国家/地区中国
Hangzhou
时期28/07/1530/07/15

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