Spectral-Spatial Classification of Hyperspectral Data via Morphological Component Analysis-Based Image Separation

This paper presents a new spectral-spatial classification method for hyperspectral images via morphological component analysis-based image separation rationale in sparse representation. The method consists of three main steps. First, the high-dimensional spectral domain of hyperspectral images is re...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2015-01, Vol.53 (1), p.70-84
Hauptverfasser:	Xue, Zhaohui, Li, Jun, Cheng, Liang, Du, Peijun
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Dictionaries Hyperspectral imaging image separation morphological component analysis (MCA) Separation Space exploration sparse representation Spectra spectral-spatial classification support vector machine (SVM) Support vector machines Surface layer Texture Wavelet transforms
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