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A remote sensing semantic segmentation network based on multi-dimensional feature fusion in coastal zone aquaculture area.

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Title: A remote sensing semantic segmentation network based on multi-dimensional feature fusion in coastal zone aquaculture area.
Authors: Li, Guangchun1 (AUTHOR), Zhang, A. N. Yunhao2 (AUTHOR), Liu, A. N. Rufei2 (AUTHOR) liurufei@sdust.edu.cn, Zhang, A. N. Jingwen1 (AUTHOR)
Source: Marine Geodesy. Jul2025, Vol. 48 Issue 4, p476-497. 22p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 186283478
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A remote sensing semantic segmentation network based on multi-dimensional feature fusion in coastal zone aquaculture area.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Guangchun%22">Li, Guangchun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+A%2E+N%2E+Yunhao%22">Zhang, A. N. Yunhao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+A%2E+N%2E+Rufei%22">Liu, A. N. Rufei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> liurufei@sdust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+A%2E+N%2E+Jingwen%22">Zhang, A. N. Jingwen</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Marine+Geodesy%22">Marine Geodesy</searchLink>. Jul2025, Vol. 48 Issue 4, p476-497. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=186283478
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/01490419.2025.2481144
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      – Code: eng
        Text: English
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        PageCount: 22
        StartPage: 476
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      – TitleFull: A remote sensing semantic segmentation network based on multi-dimensional feature fusion in coastal zone aquaculture area.
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            NameFull: Li, Guangchun
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            NameFull: Zhang, A. N. Yunhao
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            NameFull: Liu, A. N. Rufei
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            – D: 01
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              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 48
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