{"title":"基于深度学习从高分二号遥感图像中提取近海水产养殖区","authors":"Juntai Leng, Yangdong Li, Chengqian Lu, Shuyang Su, Qinghong Mao, Liang Chang","doi":"10.1080/2150704x.2024.2368925","DOIUrl":null,"url":null,"abstract":"Extracting offshore aquaculture areas from high-resolution remote sensing images is significant for rational planning and dynamic management of aquaculture. However, the complex and changeable char...","PeriodicalId":49132,"journal":{"name":"Remote Sensing Letters","volume":"66 1","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extraction of offshore aquaculture areas from Gaofen-2 remote sensing imagery based on deep learning\",\"authors\":\"Juntai Leng, Yangdong Li, Chengqian Lu, Shuyang Su, Qinghong Mao, Liang Chang\",\"doi\":\"10.1080/2150704x.2024.2368925\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Extracting offshore aquaculture areas from high-resolution remote sensing images is significant for rational planning and dynamic management of aquaculture. However, the complex and changeable char...\",\"PeriodicalId\":49132,\"journal\":{\"name\":\"Remote Sensing Letters\",\"volume\":\"66 1\",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2024-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/2150704x.2024.2368925\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Letters","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/2150704x.2024.2368925","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY","Score":null,"Total":0}
Extraction of offshore aquaculture areas from Gaofen-2 remote sensing imagery based on deep learning
Extracting offshore aquaculture areas from high-resolution remote sensing images is significant for rational planning and dynamic management of aquaculture. However, the complex and changeable char...
期刊介绍：
Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.
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