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Urban Tree Classification from Multispectral Airborne LiDAR Using PointNet, DGCNN & RandLA-Net.

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Bibliographic Details
Title: Urban Tree Classification from Multispectral Airborne LiDAR Using PointNet, DGCNN & RandLA-Net.
Authors: Hamdani, Nada1,2, Abouhat, Imane3, Ait El Kadi, Kenza1,3, Bensiali, Saloua1,4, Sebari, Imane1,3
Source: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2025, Vol. 48 Issue 4/W19, p55-61, 7p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 192433016
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192433016
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        Value: 10.5194/isprs-archives-XLVIII-4-W19-2025-55-2026
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      – Code: eng
        Text: English
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      – TitleFull: Urban Tree Classification from Multispectral Airborne LiDAR Using PointNet, DGCNN & RandLA-Net.
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              Text: 2025
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