Polarimetric SAR crop classification and identification system and method

The invention relates to a crop classification and identification system and method based on time sequence high-resolution polarimetric SAR data. The system comprises an SAR image pair registration unit, an SAR image information feature matrix acquisition unit, a crop signal time sequence feature matrix construction unit based on crop samples, a crop area preliminary identification unit based on Wishart distance and a crop area accurate identification unit based on intensity information. The method is suitable for crop classification of multi-image multi-polarization high-resolution SAR data, and pattern spots of different crops can be extracted more efficiently and more accurately. 本发明涉及一种基于时间序列高分辨极化SAR数据的农作物分类识别系统和方法，该系统包括SAR图像对的配准单元、SAR图像信息特征矩阵获取单元、基于农作物样本构建农作物信号时序特征矩阵单元、基于Wishart距离初步识别农作物区域单元和基于强度信息的精确识别农作物区域单元。该方法适用于多幅图像多极化高分辨SAR数据的农作物分类，能够更高效更准确地提取不同农作物的图斑。