DocumentCode
1854184
Title
Crashed airplane detection based on feature fusion in POLSAR image
Author
Ping Han ; Xinshuai Zhang ; Peng Ge
Author_Institution
Tianjin Key Lab. for Adv. Signal Process., Civil Aviation Univ. of China, Tianjin, China
Volume
3
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
2003
Lastpage
2006
Abstract
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.
Keywords
aircraft; electromagnetic wave scattering; feature extraction; image fusion; radar detection; radar imaging; radar polarimetry; synthetic aperture radar; CFAR; POLSAR image; airplane tail; airplane target detection feature; constant false alarm rate; crashed airplane detection; feature fusion; scattering intensity; CFAR algorithm; crashed airplane detection; dehidral structure; feature fusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491973
Filename
6491973
Link To Document