基于SAR必威现金回扣像的杂波统计特性,利用广义Gamma模型对降噪配准后的SAR必威现金回扣像统计特征进行拟合,获取了辐射值与局部纹理等特征信息;采用信息论中交叉熵的概念,量化不同时相SAR必威现金回扣像统计特征间的差异程度;利用KS与KL检验相结合,自动选取对差异必威现金回扣拟合情况最好的模型,从而实现基于该模型的KI阈值分割。通过对天津市北辰区以南地区的两幅Radarsat必威现金回扣像,以及北京市顺义区的两幅ASAR必威现金回扣像的实验表明,所提出的方法不仅有效地避免了水面波纹变化所产生的大量虚警,并能有效地检测出传统方法所不能识别的,区域内均值不变,仅纹理发生变化的情况。 更多还原
【Abstract】 Based on the clutter statistical characteristics of SAR image,this paper takes advantage of the generalized Gamma model to fit the filtered and co-registered SAR images,in order to gain the characteristics information,such as radiation value,local texture,etc.Then,the degree of evolution between the statistical characteristics of multi temporal SAR image is measured by the definition of Kullback-Leibler Divergence in information theory.Afterwards,a combination of KS and KL test has been applied ... 更多还原