18 July 2014 Classification of hyperspectral urban data using adaptive simultaneous orthogonal matching pursuit
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Abstract
Simultaneous orthogonal matching pursuit (SOMP) has been recently developed for hyperspectral image classification. It utilizes a joint sparsity model with the assumption that each pixel can be represented by a linear combination of labeled samples. We present an approach to improve the performance of SOMP based on
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jinyi Zou, Jinyi Zou, Wei Li, Wei Li, Xin Huang, Xin Huang, Qian Du, Qian Du, } "Classification of hyperspectral urban data using adaptive simultaneous orthogonal matching pursuit," Journal of Applied Remote Sensing 8(1), 085099 (18 July 2014). https://doi.org/10.1117/1.JRS.8.085099 . Submission:
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