{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T21:02:46Z","timestamp":1648933366805},"reference-count":27,"publisher":"World Scientific Pub Co Pte Lt","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:p> In this paper, we address the problem of removing striping noise in hyperspectral images (HSI). To this end, we develop a novel destriping method by taking advantage of the spectral and spatial information of the hyperspectral image simultaneously. To obtain satisfactory destriped results, our consideration is two-fold: (1) To model the spectral information of HSI, we utilize low-rank representation to exploit the low-rank property of HSI; (2) To incorporate the spatial information into our method, we adopt the Huber-Markov random field (HMRF) prior model to preserve the edge information of HSI while reducing the striping noise. Finally, we integrate the spectral and spatial model into a unified objective function. In addition, we also devise an effective optimization algorithm to minimize the objective function. The experimental results on real-world HSI data validate the efficacy of the proposed scheme for destriping of HSI. <\/jats:p>","DOI":"10.1142\/s0219691317500643","type":"journal-article","created":{"date-parts":[[2017,9,19]],"date-time":"2017-09-19T02:30:32Z","timestamp":1505788232000},"page":"1750064","source":"Crossref","is-referenced-by-count":1,"title":["Destriping hyperspectral imagery via spectral\u2013spatial low-rank representation"],"prefix":"10.1142","volume":"15","author":[{"given":"Yulong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Chengdu University, Chengdu 610106, P. R. China"}]},{"given":"Cuiming","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Chengdu University, Chengdu 610106, P. R. 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