@inproceedings{9731048c969545328a249f4200206507,
title = "Battle damage assessment with change detection of SAR images",
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.",
keywords = "Battle damage assessment, Change detection, SIFT feature, Synthetic aperture radar",
author = "Zhou, {De Yun} and Zeng, {Li Na} and Kai Zhang and Kun Zhang",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7259637",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "193--197",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
}