{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T04:07:42Z","timestamp":1783483662686,"version":"3.55.0"},"reference-count":52,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T00:00:00Z","timestamp":1552435200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Nature Science Foundation of China","award":["61772003"],"award-info":[{"award-number":["61772003"]}]},{"name":"the Fundamental Research Funds for the Central Universities","award":["ZYGX2016J132"],"award-info":[{"award-number":["ZYGX2016J132"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Remote sensing images have been applied to a wide range of fields, but they are often degraded by various types of stripes, which affect the image visual quality and limit the subsequent processing tasks. Most existing destriping methods fail to exploit the stripe properties adequately, leading to suboptimal performance. Based on a full consideration of the stripe properties, we propose a new destriping model to achieve stripe detection and stripe removal simultaneously. In this model, we adopt the unidirectional total variation regularization to depict the directional property of stripes and the weighted     \u2113  2 , 1     -norm regularization to depict the joint sparsity of stripes. Then, we combine the alternating direction method of multipliers and iterative support detection to solve the proposed model effectively. Comparison results on simulated and real data suggest that the proposed method can remove and detect stripes effectively while preserving image edges and details.<\/jats:p>","DOI":"10.3390\/rs11060608","type":"journal-article","created":{"date-parts":[[2019,3,14]],"date-time":"2019-03-14T04:15:29Z","timestamp":1552536929000},"page":"608","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Remote Sensing Image Stripe Detecting and Destriping Using the Joint Sparsity Constraint with Iterative Support Detection"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6633-7106","authenticated-orcid":false,"given":"Yun-Jia","family":"Sun","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences\/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7766-230X","authenticated-orcid":false,"given":"Ting-Zhu","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences\/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian-Hui","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an 710049, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mathematical Sciences\/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,13]]},"reference":[{"key":"ref_1","first-page":"4950","article-title":"Destriping of multispectral remote sensing image using low-rank tensor decomposition","volume":"11","author":"Chen","year":"2018","journal-title":"IEEE J. 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