Crashed Airplane Detection Based on Feature Fusion in POLSAR Image

被引：0
|
作者：
Han, Ping [1 ]
Zhang, Xinshuai [1 ]
机构：
[1] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China
来源：
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年
关键词：
crashed airplone detection; dehidral structure; feature fusion; CFAR algorithm; POLARIMETRY; SEARCH; RESCUE; RADAR;
D O I：
暂无
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 new crashed airplane detection algorithm based on feature fusion is proposed in this paper. Considering the dihedral characteristic of the airplane's tail and the strong scattering intensity of airplane's body, airplane target detection feature is constructed by combining the above two polarimetric properties. Then Constant False Alarm Rate (CFAR) is used for target detection. Experimental results with real polarimetric data from NASA/JPL UAVASR system demonstrate the effectiveness of the proposed method.
引用
收藏
页码：2003 / 2006
页数：4
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