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
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;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491973
