{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T01:29:52Z","timestamp":1791336592417,"version":"4.3.1"},"reference-count":54,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,6]],"date-time":"2022-09-06T00:00:00Z","timestamp":1662422400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Projects","award":["2020YFE0200100"],"award-info":[{"award-number":["2020YFE0200100"]}]},{"name":"National Key Research and Development Projects","award":["42076213"],"award-info":[{"award-number":["42076213"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2020YFE0200100"],"award-info":[{"award-number":["2020YFE0200100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42076213"],"award-info":[{"award-number":["42076213"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent years, the development of China\u2019s marine aquaculture has brought serious challenges to the marine ecological environment. Therefore, it is significant to classify and extract the aquaculture zone and spatial distribution in order to provide a reference for aquaculture management. However, considering the complex marine aquaculture environment, it is difficult for traditional remote sensing technology and deep learning to achieve a breakthrough in the extraction of large-scale aquaculture zones so far. This study proposes a method based on the combination of piecewise linear stretching and R3Det to classify and extract raft aquaculture and cage aquaculture zones. The grayscale value is changed by piecewise linear stretching to reduce the influence of complex aquaculture backgrounds on the extraction accuracy, to effectively highlight the appearance characteristics of the aquaculture zone, and to improve the image contrast. On this basis, the aquaculture zone is classified and extracted by R3Det. Taking the aquaculture zone of Sansha Bay as the research object, the experimental results showed that the accuracy of R3Det in extracting the number of raft aquaculture and cage aquaculture zones was 98.91% and 97.21%, respectively, and the extraction precision of the area of the aquaculture zone reached 92.08%. The proposed method can classify and extract large-scale marine aquaculture zones more simply and efficiently than common remote sensing techniques.<\/jats:p>","DOI":"10.3390\/rs14184430","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T04:18:32Z","timestamp":1662610712000},"page":"4430","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Automatic Extraction of Marine Aquaculture Zones from Optical Satellite Images by R3Det with Piecewise Linear Stretching"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6537-2604","authenticated-orcid":false,"given":"Yujie","family":"Ma","sequence":"first","affiliation":[{"name":"Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Qu","sequence":"additional","affiliation":[{"name":"School of Fishery, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cixian","family":"Yu","sequence":"additional","affiliation":[{"name":"Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0599-5214","authenticated-orcid":false,"given":"Lianhui","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Marine Resources and Energy, Tokyo University of Marine Science and Technology, Tokyo 108-8477, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengda","family":"Huang","sequence":"additional","affiliation":[{"name":"Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fukun","family":"Gui","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dejun","family":"Feng","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Marine Aquaculture, Zhejiang Ocean University, Zhoushan 316000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"105348","DOI":"10.1016\/j.ocecoaman.2020.105348","article-title":"Automatic extraction of aquaculture ponds based on Google Earth Engine","volume":"198","author":"Xia","year":"2020","journal-title":"Ocean Coast. 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