Contrast Enhancement Method of POLSAR Images Based on Target Decomposition Theory  

Contrast Enhancement Method of POLSAR Images Based on Target Decomposition Theory

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作  者:Qi-Yu He Zhi-Qin Zhao Zai-Ping Nie 

机构地区:[1]School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China

出  处:《Journal of Electronic Science and Technology》2010年第4期337-340,共4页电子科技学刊(英文版)

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

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.

关 键 词:Image processing polarimetric synthetic aperture radar target decomposition. 

分 类 号:TP722.6[自动化与计算机技术—检测技术与自动化装置] TN958[自动化与计算机技术—控制科学与工程]

 

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