Battle damage assessment with change detection of SAR images

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 34th Chinese Control Conference, CCC 2015
EditorsQianchuan Zhao, Shirong Liu
PublisherIEEE Computer Society
Pages193-197
Number of pages5
ISBN (Electronic)9789881563897
DOIs
StatePublished - 11 Sep 2015
Event34th Chinese Control Conference, CCC 2015 - Hangzhou, China
Duration: 28 Jul 201530 Jul 2015

Publication series

NameChinese Control Conference, CCC
Volume2015-September
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference34th Chinese Control Conference, CCC 2015
Country/TerritoryChina
CityHangzhou
Period28/07/1530/07/15

Keywords

  • Battle damage assessment
  • Change detection
  • SIFT feature
  • Synthetic aperture radar

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