安徽农业科学2011，Vol.39Issue(10)：6104-6106,3.
基于环境星的混合像元分解水稻面积提取
Extraction of Paddy Planting Areas by Using Mixed Pixel Decomposition Based on HJ-1A/B Satellite Images
摘要
Abstract
Taking the case of the extraction of paddy planting areas in Xi County of Henan Province,Linear Spectral Mixture Model (LSMM) was selected to classify and calculate paddy planting areas, moreover, location accuracy calculation was carried out for its result and high resolution ALOS data,thereby ,average precision reached 87.89％. Meanwhile, comparing with decision tree classification method and neural network classification,total precision of mixed pixel decomposition method improved remarkably. The results indicated that the extraction accuracy of paddy planting areas can be improved by using mixed pixel decomposition method of HJ-1A/B satellite.关键词
环境小卫星/混合像元分解/端元/线性光谱混合模型/水稻种植面积Key words
HJ-1A/B satellite/ Mixed pixel decomposition/ End members/ Linear Spectral Mixture Model (LSMM)/ Paddy planting areas分类
农业科技引用本文复制引用
陈树辉,李杨,曾凡君,薛春燕,刘翔..基于环境星的混合像元分解水稻面积提取[J].安徽农业科学,2011,39(10):6104-6106,3.基金项目
国家"863"计划地球观测与导航技术领域国家统计遥感业务系统关键技术研究与应用专题项目(2006AA120107). （2006AA120107）
