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Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images
Joint Authors
Sima, Haifeng
Mi, Aizhong
Liu, Pei
Liu, Lanlan
Wang, Jianfang
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Aiming at solving the difficulty of modeling on spatial coherence, complete feature extraction, and sparse representation in hyperspectral image classification, a joint sparse representation classification method is investigated by flexible patches sampling of superpixels.
First, the principal component analysis and total variation diffusion are employed to form the pseudo color image for simplifying superpixels computing with (simple linear iterative clustering) SLIC model.
Then, we design a joint sparse recovery model by sampling overcomplete patches of superpixels to estimate joint sparse characteristics of test pixel, which are carried out on the orthogonal matching pursuit (OMP) algorithm.
At last, the pixel is labeled according to the minimum distance constraint for final classification based on the joint sparse coefficients and structured dictionary.
Experiments conducted on two real hyperspectral datasets show the superiority and effectiveness of the proposed method.
American Psychological Association (APA)
Sima, Haifeng& Liu, Pei& Liu, Lanlan& Mi, Aizhong& Wang, Jianfang. 2018. Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1209234
Modern Language Association (MLA)
Sima, Haifeng…[et al.]. Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1209234
American Medical Association (AMA)
Sima, Haifeng& Liu, Pei& Liu, Lanlan& Mi, Aizhong& Wang, Jianfang. Sparse Representation Classification Based on Flexible Patches Sampling of Superpixels for Hyperspectral Images. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1209234
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209234