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《Chinese Journal of Geophysics》 2009-11
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Decomposition of mixed pixels of SAR remote sensing images based on Partheno-Genetic Algorithm

YU Xian-Chuan, CHU Xiao-Feng, CAO Heng-ZhiCollege of Information Science and Technology, Beijing Normal University, Beijing 100875, China  
The existing theories and methods used for remote sensing images mixed pixel decomposition all require that the number of image channels should be more than that of the ground types, but the characteristics of the Synthetic Aperture Radar (SAR) hinder the SAR image from having excessive channels. To solve the problem in which the SAR images mixed pixel decomposition in circumstance of ground types being more than channels number, we propose a new method for mixed pixels' decomposition based on Partheno-Genetic Algorithm. In our algorithm, we establish a new chromosome coding method and an evolution iterative method. The new algorithm can realize the ideal mixed pixel decomposition and decompose more ground types than the number of channels. We intercept the area of the Tiananmen vicinity from the Beijing ENVISAT-ASAR image as our experiment data source and compare the result with the real ground feature. The experiment result shows that our algorithm is correct and effective.
【Fund】: 北京市自然科学基金(4062020);; 国家自然科学基金(40672195);; 教育部新世纪优秀人才支持计划资助
【CateGory Index】: TP751;TP18
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