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A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models.

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Title: A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models.
Authors: He, Peipei1, Shen, Taoxing1, shentx@stu.ncwu.edu.cn, Wang, Yafei1, Zhu, Dantong1, Hu, Qingfeng1, Li, Hui1, Yin, Weibo2, Zhang, Yi1, Yang, Ang1
Source: European Journal of Remote Sensing; Dec2025, Vol. 58 Issue 1, p1-19, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190350788
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models.
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Remote+Sensing%22">European Journal of Remote Sensing</searchLink>; Dec2025, Vol. 58 Issue 1, p1-19, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190350788
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/22797254.2025.2473939
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      – Code: eng
        Text: English
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        PageCount: 19
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      – TitleFull: A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models.
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            NameFull: Shen, Taoxing
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 58
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            – TitleFull: European Journal of Remote Sensing
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