基于遗传算法和后向散射模型的冲积扇地表参数反演

Retrieving surface characteristic of alluvial fan from shuttle imaging radar data based on genetic algorithm and backscattering model

基于能够计算多参数全局最优组合的遗传算法,结合 OH2002后向散射模型,利用航天飞机成像雷达3号(SIR-C)L 波段全极化数据反演了中蒙边境地区的冲积扇地表参数,提出一种反演地表参数的新途径。同时,利用所反演结果,对冲积扇地区地表特征进行分析,并与已有的反演方法进行对比,结果证明该方法能够有效地对地表参数进行提取。

Based on the genetic algorithm with the ability to obtain the globally optimized parameter group and the backscattering model of OH2002, the surface characteristic parameters of an alluvial fan in the China-Mongolia border, such as soil moisture, surface roughness, etc., were retrieved from the Shuttle Imaging Radar-C （SIn-C）＇s L band fully-polarimetric data, thus a new approach to retrieval of surface parameters was created. The surface characteristics of the alluvial fan were analyzed with the retrieved results and they were compared with the results obtained using other verified methods, and both showed the effectiveness of the .new method.