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
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