摘要
Improving the target-clutter ratio （TCR） of moving targets in synthetic aperture radar （SAR）, imagery is very important for target detection and identification. In this paper, using the Cloude＇s decomposition theory, an average eovarianee matrix can be decomposed into a summation of matrices representing three different scattering processes： the single bounce scattering, double bounce scattering, and diffuse scattering. A new idea of using the combination of the three components to enhance the contrast of an image is proposed. In order to compare with the polarimetric contrast enhancement method based on HH, HV, and W data, ship areas of two combinatorial intensity images are detected by image binarization. Experimental results show that the method proposed in this paper provides better contrast.
Improving the target-clutter ratio （TCR） of moving targets in synthetic aperture radar （SAR）, imagery is very important for target detection and identification. In this paper, using the Cloude＇s decomposition theory, an average eovarianee matrix can be decomposed into a summation of matrices representing three different scattering processes： the single bounce scattering, double bounce scattering, and diffuse scattering. A new idea of using the combination of the three components to enhance the contrast of an image is proposed. In order to compare with the polarimetric contrast enhancement method based on HH, HV, and W data, ship areas of two combinatorial intensity images are detected by image binarization. Experimental results show that the method proposed in this paper provides better contrast.
基金
supported in part by the 863 Program under Grant No. 2007AA12Z159
the Program for New Century Excellent Talents in University of China under Grant No. NCET-06-0813
