Rice Information Extraction Based on Dual Polarized ASAR Data
基于双极化ASAR数据的水稻信息提取

Based on ENVISAT ASAR data in Changle test area,this paper studies the method of rice information extraction. With the analysis of rice backscatter coefficient change rule based on two dual polarized ASAR images,a new band image was constructed to enhance rice information and reduce confusion between rice and non-rice classes. Supervised classification was carried out here to extract rice information,and the extraction result achieves a 94.92% overall accuracy. The study indicates that the proposed method can be used effectively for rice extraction.