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

IF 1.4 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Juntai Leng, Yangdong Li, Chengqian Lu, Shuyang Su, Qinghong Mao, Liang Chang
{"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":null,"pages":null},"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\":null,\"pages\":null},\"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}
引用次数: 0

摘要

从高分辨率遥感图像中提取近海水产养殖区域对于合理规划和动态管理水产养殖意义重大。然而,复杂多变的水产养殖区特征对水产养殖业的发展具有很大的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Remote Sensing Letters
Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
4.10
自引率
4.30%
发文量
92
审稿时长
6-12 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信