{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T18:50:53Z","timestamp":1771959053663,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T00:00:00Z","timestamp":1673827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Wuhu and Xidian University special fund for industry\u2013university-research cooperation","award":["XWYCXY-012021019"],"award-info":[{"award-number":["XWYCXY-012021019"]}]},{"name":"Wuhu and Xidian University special fund for industry\u2013university-research cooperation","award":["2022GY-060"],"award-info":[{"award-number":["2022GY-060"]}]},{"name":"General project of key R&amp;D Plan of Shaanxi Province","award":["XWYCXY-012021019"],"award-info":[{"award-number":["XWYCXY-012021019"]}]},{"name":"General project of key R&amp;D Plan of Shaanxi Province","award":["2022GY-060"],"award-info":[{"award-number":["2022GY-060"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this study, we proposed a region of interest (ROI) compression algorithm under the deep learning self-encoder framework to improve the reconstruction performance of the image and reduce the distortion of the ROI. First, we adopted a remote sensing image cloud detection algorithm for detecting important targets in images, that is, separating the remote sensing background from important regions in remote sensing images and then determining the target regions because most traditional ROI-based image compression algorithms utilize the manual labeling of the ROI to achieve region separation in images. We designed a multiscale ROI self-coding network from coarse to fine with a hierarchical super priority layer to synthesize images to reduce the spatial redundancy more effectively, thus greatly improving the distortion rate performance of image compression. By using a spatial attention mechanism for the ROI in the image compression network, we achieved better compression performance.<\/jats:p>","DOI":"10.3390\/rs15020522","type":"journal-article","created":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T04:31:32Z","timestamp":1673843492000},"page":"522","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Image Compression Network Structure Based on Multiscale Region of Interest Attention Network"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8495-2804","authenticated-orcid":false,"given":"Jing","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Integrated Service Network, Xidian University, Xi\u2019an 710071, China"},{"name":"School of Telecommunication Engineering, Xidian University, Xi\u2019an 710071, China"},{"name":"Guangzhou Institute of Technology, Xidian University, Guangzhou 510700, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaobo","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Telecommunication Engineering, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunsong","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Integrated Service Network, Xidian University, Xi\u2019an 710071, China"},{"name":"School of Telecommunication Engineering, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruitao","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Control Engineering, Rocket Force University of Engineering, Xi\u2019an 710025, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"29875","DOI":"10.1007\/s11042-021-11123-4","article-title":"Opposition grasshopper optimizer based multimedia data distribution using user evaluation strategy","volume":"80","author":"Sundararaj","year":"2021","journal-title":"Multimed. 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