Hyperspectral Image Classification via Multiple-Feature-Based Adaptive Sparse Representation.

IEEE Transactions on Instrumentation and Measurement(2017)

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摘要
A multiple-feature-based adaptive sparse representation (MFASR) method is proposed for the classification of hyperspectral images (HSIs). The proposed method mainly includes the following steps. First, four different features are separately extracted from the original HSI and they reflect different kinds of spectral and spatial information. Second, for each pixel, a shape adaptive (SA) spatial reg...
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关键词
Feature extraction,Shape,Sparse matrices,Correlation,Adaptation models,Hyperspectral imaging,Dictionaries
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