Hyperspectral Image Classification Via Shape-Adaptive Joint Sparse Representation.

Wei Fu,Shutao Li,Leyuan Fang,Xudong Kang,Jon Atli Benediktsson

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing（2016）

引用 120|浏览4

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摘要

A new shape-adaptive joint sparse representation classification (SAJSRC) method is proposed for hyperspectral images (HSIs) classification. The proposed method adaptively explores the spatial information and incorporates it into a joint sparse representation classifier. First, the HSI is transformed with the principal component analysis (PCA) algorithm. Then, the first principal component (PC), wh...

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关键词

Joints,Support vector machines,Sparse matrices,Image edge detection,Hyperspectral imaging,Principal component analysis,Training

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