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从永久散射体(PS,Persistent Scatterer)和分布式目标(DS,Distributed Scatterer)机理出发,以四川都江堰世界文化遗产地为例,利用2008~2010年的23幅ENVISAT ASAR图像提取了PS候选点和DS候选区;选取4个样本研究两者时空分布模式,并结合阴影叠掩图和土地分类图对所提取的相干目标进行了分析。实验结果表明,使用振幅离散度阈值法提取的PS候选点总体表现为高相干,主要分布在城区,且在水体和叠掩区有少量分布;设定了提取DS候选区的识别原则提取DS候选区,并确定相干系数数据集最佳的计算窗口大小为7×35。DS候选点主要分布在裸露地表和耕地等区域,其相干性在时间序列上抖动,揭示了人类活动和季节变换对其的影响。利用PS和DS时空分布模式及特性,可有效实现两者相干目标的区分与辨识。
Based on the Persistent Scatterer (PS) and Distributed Scatterer (DS) mechanism, taking the World Cultural Heritage Site of Dujiangyan in Sichuan as an example, PS candidate points were extracted from 23 ENVISAT ASAR images from 2008 to 2010 DS candidate area. Four samples were selected to study the spatio-temporal distribution patterns of the two, and the coherent targets extracted by shadow overlay map and land classification map were analyzed. The experimental results show that the PS candidate points extracted using the amplitude dispersion threshold method are highly coherent, mainly distributed in the urban area, with a small amount of distribution in the water bodies and overlying mask areas. The DS candidate rules are extracted to extract the DS candidate Area, and determine the coherent coefficient data set the best calculation window size is 7 × 35. DS candidate points are mainly distributed in the bare land surface and cultivated land and other areas, and their coherence jitter in time series reveals the impact of human activities and seasonal changes. Utilizing the spatiotemporal distribution patterns and characteristics of PS and DS, the distinction and identification between coherent targets can be effectively achieved.