{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T15:58:51Z","timestamp":1772553531596,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T00:00:00Z","timestamp":1686700800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Foundation of China","award":["62002208"],"award-info":[{"award-number":["62002208"]}]},{"name":"Natural Science Foundation of China","award":["62172030"],"award-info":[{"award-number":["62172030"]}]},{"name":"Natural Science Foundation of China","award":["ZR2020MA082"],"award-info":[{"award-number":["ZR2020MA082"]}]},{"name":"Natural Science Foundation of China","award":["ZR2020MF119"],"award-info":[{"award-number":["ZR2020MF119"]}]},{"name":"Natural Science Foundation of Shandong Province","award":["62002208"],"award-info":[{"award-number":["62002208"]}]},{"name":"Natural Science Foundation of Shandong Province","award":["62172030"],"award-info":[{"award-number":["62172030"]}]},{"name":"Natural Science Foundation of Shandong Province","award":["ZR2020MA082"],"award-info":[{"award-number":["ZR2020MA082"]}]},{"name":"Natural Science Foundation of Shandong Province","award":["ZR2020MF119"],"award-info":[{"award-number":["ZR2020MF119"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Coherent imaging systems, such as synthetic aperture radar (SAR), often suffer from granular speckle noise due to inherent defects, which can make interpretation challenging. Although numerous despeckling methods have been proposed in the past three decades, SAR image despeckling remains a challenging task. With the extensive use of non-local self-similarity, despeckling methods under the non-local framework have become increasingly mature. However, effectively utilizing patch similarities remains a key problem in SAR image despeckling. This paper proposes a three-dimensional (3D) SAR image despeckling method based on searching for similar patches and applying the high-order singular value decomposition (HOSVD) theory to better utilize the high-dimensional information of similar patches. Specifically, the proposed method extends two-dimensional (2D) to 3D for SAR image despeckling using tensor patches. A new, non-local similar patch-searching measure criterion is used to classify the patches, and similar patches are stacked into 3D tensors. Lastly, the iterative adaptive weighted tensor cyclic approximation is used for SAR image despeckling based on the HOSVD method. Experimental results demonstrate that the proposed method not only effectively reduces speckle noise but also preserves fine details.<\/jats:p>","DOI":"10.3390\/rs15123118","type":"journal-article","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T02:03:19Z","timestamp":1686794599000},"page":"3118","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A SAR Image-Despeckling Method Based on HOSVD Using Tensor Patches"],"prefix":"10.3390","volume":"15","author":[{"given":"Jing","family":"Fang","sequence":"first","affiliation":[{"name":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"}]},{"given":"Taiyong","family":"Mao","sequence":"additional","affiliation":[{"name":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7107-9551","authenticated-orcid":false,"given":"Fuyu","family":"Bo","sequence":"additional","affiliation":[{"name":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"}]},{"given":"Bomeng","family":"Hao","sequence":"additional","affiliation":[{"name":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"}]},{"given":"Nan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Physics and Electronics, Shandong Normal University, Jinan 250014, China"}]},{"given":"Shaohai","family":"Hu","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Wenfeng","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Management Engineering, Shandong Jianzhu University, Jinan 250101, China"}]},{"given":"Xiaofeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geography and Environment, Shandong Normal University, Jinan 250358, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1109\/MGRS.2013.2248301","article-title":"A tutorial on synthetic aperture radar","volume":"1","author":"Moreira","year":"2013","journal-title":"IEEE Geosci. 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