DocumentCode :
126263
Title :
Ship detection with RADARSAT-2 quad-pol SAR data using improved notch filter based on freeman decomposition
Author :
Jianhong Chen ; Yongjun Zhao ; Wei Liu
Author_Institution :
Inst. of Zheng Zhou Inf. Sci. & Technol., Zhengzhou, China
fYear :
2014
fDate :
16-23 Aug. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Ploarimetric Synthetic Aperture Radar (POLSAR) provide more information of targets, advantages of which lays in its capability to acquire useful images with any-weather conditions and at night time. POLSAR image has been used to reconnaissance Ships and vessels. Specifically, this paper proposes an improved notch detector algorithm of ship with full polarimetric image. The methodology adopted the result of freeman decomposition instead of coherency matrix for constructing vector space of polarimetric targets. Furthermore, a factor related power is added to the detector in order to separate ships dominated by surface scattering mechanism form the sea. The proposed detector was tested with Radarsat-2 full polarimetric data and show significant agreement with the available sea truth. Comparing with SPAN, Polarimetric whitening filter and Polarimetric notch filter method, the proposed method enhance ship-sea contrast ratio and show higher detection ability.
Keywords :
matrix algebra; notch filters; radar imaging; ships; synthetic aperture radar; POLSAR image; Polarimetric whitening filter; RADARSAT-2 quad pol SAR data; coherency matrix; freeman decomposition; improved notch filter; polarimetric synthetic aperture radar; polarimetric targets; reconnaissance ships; reconnaissance vessels; sea surface scattering mechanism; ship detection; ship notch detector algorithm; Detectors; Filtering algorithms; Marine vehicles; Matrix decomposition; Scattering; Sea surface; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/URSIGASS.2014.6929629
Filename :
6929629
Link To Document :
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