水土保持研究2011，Vol.18Issue(3)：10-14,封2,6.
基于线性光谱混合模型分解MODIS多光谱影像的研究
Classification of MODIS Multispectral Images Based on Line Spectral Mixture Model
摘要
Abstract
Soil erosion monitoring works require multi-temporal land cover data on a regional scale. This paper estimated the abundance of land cover components using MODIS09GA multispectral images based on linear spectral mixture model (LSMM) and assessed the accuracy. The results showed the overall accuracy of the final land cover map was 64.46％, and the Kappa coefficient was 0. 519 9; the estimation error of the endmember fraction is less than 20％ for most of land cover components. There is fine linear correlation between the abundance of land cover components and the classification of Landsat image. For the forest endmember,the linear correlation coefficient is 0. 79. It is suggested that, for MODIS image, applying LSMM in land cover classification is feasible and is promising to extracting vegetation fraction.关键词
线性混合像元分解/土地覆盖类型分类/MODIS/精度评价Key words
linear spectral mixture analysis/ land cover classification/ MODIS/ accuracy assessment分类
管理科学引用本文复制引用
陆广勇,杨勤科,张少伟,王海江..基于线性光谱混合模型分解MODIS多光谱影像的研究[J].水土保持研究,2011,18(3):10-14,封2,6.基金项目
黄土高原水土流失数学模型(第一期)研发(黄水保200651-08) （第一期）
