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合成孔径雷达(Synthetic Aperture Radar,SAR)由于其特有的全天时、全天候成像及对农作物的穿透探测能力,已成为农作物信息获取的重要手段。该文建立基于Matrix Doubling算法的玉米多阶散射模型,以全极化雷达遥感数据Radarsat-2为数据源进行模型验证,在模型基础上,根据玉米关键生长期的几何参数,分析了玉米的时域散射特征;玉米不同生长期由于结构上的差异,散射特征差别很大:在玉米出苗期,小角度情况下C波段VV-HV适用于土壤湿度的提取;在玉米成熟期,大角度情况下C波段HH/HV较适合玉米叶片含水量的分析。
Synthetic Aperture Radar (SAR) has become an important tool for crop information acquisition because of its unique all-weather, all-weather imaging and penetrating detection ability to crops. In this paper, a corn multi-order scattering model based on Matrix Doubling algorithm is established, and the data of Radarsat-2 is used to validate the model. Based on the model, the maize’s time is analyzed based on the geometric parameters of corn’s critical growth period Due to the structural differences in different growth stages of corn, the scattering characteristics are quite different: C-band VV-HV is suitable for soil moisture extraction in the corn seedling stage and small angle; in the corn mature stage, at large angle Analysis of C - band HH / HV Suitable for Water Content of Maize Leaves.