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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images.

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Title: A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images.
Authors: Liao, Mengguang1,2, Huang, Longcheng1,2, Li, Shaoning1,2, lsn@hnust.edu.cn
Source: Applied Sciences (2076-3417); Mar2025, Vol. 15 Issue 5, p2339, 23p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images.
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  Data: <searchLink fieldCode="AU" term="%22Liao%2C+Mengguang%22">Liao, Mengguang</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Huang%2C+Longcheng%22">Huang, Longcheng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Shaoning%22">Li, Shaoning</searchLink><relatesTo>1,2</relatesTo>, <i>lsn@hnust.edu.cn</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183645002
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      – Type: doi
        Value: 10.3390/app15052339
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 2339
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      – TitleFull: A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images.
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            NameFull: Liao, Mengguang
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            NameFull: Huang, Longcheng
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            NameFull: Li, Shaoning
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            – D: 01
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              Text: Mar2025
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              Y: 2025
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