Abstract：Mixed pixels are abundant in medium-low resolution images,but the traditional methods for image classification could only assign pixels to one class,with the ignorance of the mixed pixels. To tackle this problem,the authors selected the typical area in Tianshan Glacier of Xinjiang as an experimental area. Based on the theory of mixed pixel decomposition and the principle of the linear model and taking into account the spectral characteristics of TM/ETM+ image as well as the land cover characteristics of Tianshan area, the authors developed an end-member composition model suitable for the glacier area,i.e., Snow-Vegetation-Rock-Shade model. After the appropriate end-members were selected and the reflectance values were substituted into the improved linear mixed pixel decomposition model,which satisfied the constraints,the abundance image of individual end-member was calculated and the snow cover information was easily and precisely extracted. The extraction results of snow cover in 1989 and 2000 demonstrate that the mixed pixel decomposition and the linear model could be used to monitor the snow cover changes in the glacier area.
金鑫, 柯长青. 基于混合像元分解的天山典型地区冰雪变化监测[J]. 国土资源遥感, 2012, 24(4): 146-151.
JIN Xin, KE Chang-qing. Monitoring of Snow Cover Changes in Tianshan Mountains Based on Mixed Pixel Decomposition. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(4): 146-151.
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2012, Vol. 24 
