应用生态学报2012，Vol.23Issue(12)：3361-3368,8.
基于实测光谱混合像元分解的苹果园地遥感提取技术
Remote sensing techniques of apple orchard information extraction based on linear spectral unmixing with measured data
摘要
Abstract
Taking Qixia City, Shandong Province of China as the research region, and by using pixel unmixing for the TM image at apple flowering stage, the apple orchard information was extracted. Based on the measured spectral end-members, wavelet transform was adopted to improve the linear unmixing model. The improved linear spectral unmixing model, measured end-member based linear spectral unmixing model, and TM image end-member based linear spectral unmixing model were employed to extract the apple orchard information, and the ALOS data were used for accuracy estimation. After the accurate atmospheric and topographic correction, it was feasible to use the measured spectral end-members for pixel unmixing, and the area precision of apple orchard information acquisition was greater than 97%. The regression analysis on the NDVI of abundance image and the average NDVI of ALOS data showed that the R2 was higher than 0. 8. Therefore, using wavelet transform to improve the linear spectral unmixing model could improve the unmixing accuracy to a certain degree.关键词
实测光谱/小波变换/混合像元分解/苹果园地Key words
measured spectrum/ wavelet transform/ pixel unmixing/ apple orchard分类
农业科技引用本文复制引用
董芳,赵庚星,王凌,朱西存,常春艳..基于实测光谱混合像元分解的苹果园地遥感提取技术[J].应用生态学报,2012,23(12):3361-3368,8.基金项目
高校博士点基金项目(20103702110010)、国家高技术研究发展计划项目(2008AA10Z203)和山东省自然科学基金项目(ZR2009BL007,BS2009HZ017)资助. （20103702110010）
