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For super-resolution (SR) tasks, existing deep learning-based single remote sensing image SR methods tend to rely on texture information, leading to various limitations. To fill this gap, we propose a remote sensing image SR algorithm based on a multi-scale texture transfer network (MTTN). The proposed MTTN enhances the texture feature information of reconstructed images by adaptively transferring texture information according to the texture similarity of the reference image. The proposed method adopts a multi-scale texture-matching strategy, which promotes the transmission of multi-scale texture information of remote sensing images and obtains finer-texture information from more relevant semantic modules. Experimental results show that the proposed method outperforms state-of-the-art SR techniques on the Kaggle open-source remote sensing dataset from both quantitative and qualitative perspectives.<\/jats:p>","DOI":"10.3390\/rs15235503","type":"journal-article","created":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T03:35:06Z","timestamp":1701056106000},"page":"5503","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Remote Sensing Image Super-Resolution via Multi-Scale Texture Transfer Network"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3436-4251","authenticated-orcid":false,"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"},{"name":"School of General Aviation, Jingchu University of Technology, Jingmen 448000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4587-6826","authenticated-orcid":false,"given":"Zhenfeng","family":"Shao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8117-2012","authenticated-orcid":false,"given":"Tao","family":"Lu","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430205, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4323-382X","authenticated-orcid":false,"given":"Xiao","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Emory University, Atlanta, GA 30322, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8144-5842","authenticated-orcid":false,"given":"Jiaming","family":"Wang","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430205, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5813-929X","authenticated-orcid":false,"given":"Xitong","family":"Chen","sequence":"additional","affiliation":[{"name":"Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430205, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9931-9884","authenticated-orcid":false,"given":"Haiyan","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5804-1739","authenticated-orcid":false,"given":"Xiaolong","family":"Zuo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bredemeyer, S., Ulmer, F.G., Hansteen, T.H., and Walter, T.R. 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