DocumentCode :
2216182
Title :
New method for ship detection
Author :
Yang, Jian ; Gao, Wei
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
115
Lastpage :
118
Abstract :
In this paper, a new method is proposed for ship detection based on generalized optimization of polarimetric contrast enhancement (GOPCE). Since the scattering coefficients of a sea area vary with local incident angle, pixels at different incident angles should be processed differently. The proposed detection method takes incident angle into consideration, and can be realized in two ways: using prior knowledge or local adaptive. In the first approach, sea clutter statistics at different incident angles are calculated in advance, followed by traditional GOPCE detection. The other method performs a two-stage detection. In the first stage, the polarimetric whitening filter (PWF) is applied for coarse detection. In the second stage, a moving window is applied to estimate local statistics adaptively, achieving refined detection. Effectiveness of the proposed method is demonstrated using Radarsat-2 data, and detection results of various detectors are compared.
Keywords :
filters; image resolution; optimisation; radar clutter; radar detection; radar imaging; radar polarimetry; remote sensing by radar; ships; statistics; GOPCE detection; PWF; Radarsat-2 data; generalized optimization; local adaptive; local incident angle; local statistics estimation; pixels; polarimetric contrast enhancement; polarimetric whitening filter; prior knowledge; radar remote sensing; scattering coefficients; sea area; sea clutter statistics; ship detection; two-stage detection; Clutter; Correlation; Detectors; Marine vehicles; Optimization; Scattering; Synthetic aperture radar; GOPCE; incident angle; synthetic aperture radar (SAR); target detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351623
Filename :
6351623
Link To Document :
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