{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T00:25:50Z","timestamp":1778199950558,"version":"3.51.4"},"reference-count":35,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,11]],"date-time":"2018-03-11T00:00:00Z","timestamp":1520726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61401308 and 61572063"],"award-info":[{"award-number":["61401308 and 61572063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2016201142 and F2016201187"],"award-info":[{"award-number":["F2016201142 and F2016201187"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science research project of Hebei Province","award":["QN2016085"],"award-info":[{"award-number":["QN2016085"]}]},{"name":"Natural Science Foundation of Hebei 293 University","award":["2014-303"],"award-info":[{"award-number":["2014-303"]}]},{"name":"Post-graduate\u2019s Innovation Fund Project of Hebei University","award":["X201710"],"award-info":[{"award-number":["X201710"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>As speckle seriously restricts the applications of remote sensing images in many fields, the ability to efficiently and effectively suppress speckle in a coherent imaging system is indispensable. In order to overcome the over-smoothing problem caused by the speckle suppression algorithm based on classical sparse representation, we propose a non-local speckle suppression algorithm that combines the non-local prior knowledge of the image into the sparse representation. The proposed algorithm first applies shearlet to sparsely represent the input image. We then incorporate the non-local priors as constraints into the image sparse representation de-noising problem. The denoised image is obtained by utilizing an alternating minimization algorithm to solve the corresponding constrained de-noising problem. The experimental results show that the proposed algorithm can not only significantly remove speckle noise, but also improve the visual effect and retain the texture information of the image better.<\/jats:p>","DOI":"10.3390\/rs10030439","type":"journal-article","created":{"date-parts":[[2018,3,12]],"date-time":"2018-03-12T13:13:48Z","timestamp":1520860428000},"page":"439","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Speckle Suppression Based on Sparse Representation with Non-Local Priors"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7520-8226","authenticated-orcid":false,"given":"Shuaiqi","family":"Liu","sequence":"first","affiliation":[{"name":"College of Electronic and Information Engineering, Hebei University, Baoding 071000, China"},{"name":"Machine Vision Engineering Research Center of Hebei Province, Baoding 071000, China"},{"name":"Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding 071002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Hebei University, Baoding 071000, China"},{"name":"Machine Vision Engineering Research Center of Hebei Province, Baoding 071000, China"},{"name":"Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding 071002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengfei","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Hebei University, Baoding 071000, China"},{"name":"Machine Vision Engineering Research Center of Hebei Province, Baoding 071000, China"},{"name":"Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding 071002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Electronic and Information Engineering, Hebei University, Baoding 071000, China"},{"name":"Machine Vision Engineering Research Center of Hebei Province, Baoding 071000, China"},{"name":"Key Laboratory of Digital Medical Engineering of Hebei Province, Baoding 071002, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chong","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Geophysics and Geomatics, China University of Geosciences, Beijing 100083, China"},{"name":"Bureau of Economic Geology, University of Texas at Austin, Austin, TX 78713, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihui","family":"Zhu","sequence":"additional","affiliation":[{"name":"Center for Imaging Science, The Johns Hopkins University, Baltimore, MD 21218, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1109\/TITS.2017.2749964","article-title":"Embedding structured contour and location prior in siamesed fully convolutional networks for road detection","volume":"19","author":"Wang","year":"2018","journal-title":"IEEE Trans. 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