采用决策树和混合像元分解模型进行建设用地信息提取。
In this paper, the information of construction land-use is extracted by the decision tree and mixed pixel decomposition model.
该文模拟不同空间分辨率的遥感图像中混合像元造成的误分类情况，同时应用线性模型对混合像元进行了分解提纯，用以提高分辨率精度。
This article simulates misclassification because of mixed pixels on different spatial resolution images, then applies linear model to decompose mixed pixel, so as to improve classification accuracy.
在使用混合像元线性分解基本模型的同时，也结合研究目标对其进行了改进与补充，效果令人满意，为中等植被覆盖区的专题信息的提取提供了一种方法。
Field survey and other information show that the practice of this paper can be adopted to extract thematic information for such areas with medium vegetation cover.
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