文件名称:
Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation
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上传时间: 2021-02-09
详细说明:Sparse representation has been demonstrated to be a powerful tool in classification of hyperspectral images (HSIs). The spatial context of an HSI can be exploited by first defining a local region for each test pixel and then jointly representing pixels within each region by a set of common training atoms (samples). However, the selection of the optimal region scale (size) for different HSIs with different types of structures is a nontrivial task. In this paper, considering that regions of differ
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