Detection of Group of Targets Using High Resolution Satellite SAR and EO Images

被引:1
|
作者
Kim, So-Yeon [1 ]
Kim, Sang-Wan [1 ]
机构
[1] Sejong Univ, Dept Geoinformat Engn, Seoul, South Korea
关键词
Synthetic Aperture Radar (SAR); Electro Optical (EO); High resolution; Target detection; Cluster; Image fusion;
D O I
10.7780/kjrs.2015.31.2.6
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
In this study, the target detection using both high-resolution satellite SAR and Elecro-Optical (EO) images such as TerraSAR-X and WorldView-2 is performed, considering the characteristics of targets. The targets of our interest are featured by being stationary and appearing as cluster targets. After the target detection of SAR image by using Constant False Alarm Rate (CFAR) algorithm, a series of processes is performed in order to reduce false alarms, including pixel clustering, network clustering and coherence analysis. We extend further our algorithm by adopting the fast and effective ellipse detection in EO image using randomized hough transform, which is significantly reducing the number of false alarms. The performance of proposed algorithm has been tested and analyzed on TerraSAR-X SAR and WordView-2 EO images. As a result, the average false alarm for group of targets is 1.8 groups/64 km(2) and the false alarms of single target range from 0.03 to 0.3 targets/km(2). The results show that groups of targets are successfully identified with very low false alarms.
引用
收藏
页码:111 / 125
页数:15
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