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.
方法先对图像进行小波分解，从最低分辨率的近似图像开始，采用光流场的方法进行逐级配准，再对配准的各分量进行重构，直至得到最高分辨率的配准图像。
In this method, from the lowest resolution, the approximate images are registered by optical flow field, and then reconstruct the image, up to the highest resolution.
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