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To solve these problems, a novel image patch tensor (IPT) model for infrared small-target detection is proposed. First, to better estimate the background component, we utilize the Laplace operator to approximate the background tensor rank. Secondly, we combined local gradient features and highlighted area indicators to model the local targets prior, which can effectively suppress the complex background clutter. The proposed model was solved by the alternating direction method of multipliers (ADMM). The experimental results on various scenes show that our model achieves an excellent performance in suppressing strong edge clutter and estimating small targets.<\/jats:p>","DOI":"10.3390\/rs14236044","type":"journal-article","created":{"date-parts":[[2022,11,30]],"date-time":"2022-11-30T05:45:22Z","timestamp":1669787122000},"page":"6044","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["An Enhanced Image Patch Tensor Decomposition for Infrared Small Target Detection"],"prefix":"10.3390","volume":"14","author":[{"given":"Ziling","family":"Lu","sequence":"first","affiliation":[{"name":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3128-2405","authenticated-orcid":false,"given":"Zhenghua","family":"Huang","sequence":"additional","affiliation":[{"name":"Artificial Intelligence School, Wuchang University of Technology, Wuhan 430223, China"}]},{"given":"Qiong","family":"Song","sequence":"additional","affiliation":[{"name":"School of Computer Science, Northeast Electric Power University, Jilin 132012, China"}]},{"given":"Kun","family":"Bai","sequence":"additional","affiliation":[{"name":"Xi\u2019an Modern Control Technology Research Institute, Xi\u2019an 710065, China"}]},{"given":"Zhengtao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin 300382, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Liu, X., and Zuo, Z. 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