DocumentCode :
561688
Title :
Ship detection based on Radarsat-2 full-polarimetric images
Author :
Bingjie, Wu ; Chao, Wang ; Bo, Zhang ; Fan, Wu
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
Volume :
1
fYear :
2011
fDate :
24-27 Oct. 2011
Firstpage :
634
Lastpage :
637
Abstract :
Feature extraction is very important when processing the polarimetric synthetic aperture radar (SAR) image, and the key of ship detection. In order to enhance the contrast of ships and clutter, we investigate a new detection parameter (DP) for ship detection based on feature vector with three parameters: span value, the smallest eigenvalue and the combination of entropy and anisotropy, which have the highest TCR (Target-Clutter Ratio) when compared with other parameters after analyzing the Radarsat-2 full-polarimetric SLC data in our experiment. The results show that DP is very effective to enhance the TCR of the image and discriminate all the ships from the background ocean correctly and completely.
Keywords :
feature extraction; radar clutter; radar detection; radar imaging; radar polarimetry; ships; SAR image; TCR; detection parameter; feature extraction; polarimetric synthetic aperture radar image; radarsat-2 full-polarimetric images; ship detection; target-clutter ratio; Anisotropic magnetoresistance; Clutter; Entropy; Feature extraction; Marine vehicles; Scattering; Vectors; eigenvalue-decomposition; feature extraction; polarimetric SAR; ship detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
Type :
conf
DOI :
10.1109/CIE-Radar.2011.6159620
Filename :
6159620
Link To Document :
بازگشت