基于双极化ASAR数据的水稻信息提取

Rice Information Extraction Based on Dual Polarized ASAR Data

通过分析长乐市试验区2005年ENVISAT ASAR数据图像,研究水稻信息提取的方法。提出在分析两个时相、双极化ASAR水稻后向散射变化规律的基础上,构建基于两个时相、双极化的新波段图像的新方法,该方法不仅增强了水稻信息,还减少了水稻和其他背景地物的混淆度,只要采用简单的图像监督分类方法就可以很好地提取出水稻信息,其精度达到94.92%。研究表明,该方法能够有效的识别并提取出水稻信息。

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.