Non-local sub-pixel mapping for hyperspectral imagery

The sub-pixel mapping method, which can provide a resolution-enhanced map in classification has been widely used in remote sensing. To better utilize the spatial information of the image, in this paper, a new sub-pixel mapping algorithm based on non-local means (NLSM) is proposed. In NLSM, the non-local means, which is a regularize term, is used to exploit the similar patterns in fraction images, and takes advantage of the non-local information in image. Experimental results show that NLSM performs better than other algorithms.

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