Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2512-2819

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net ; volume:90 ; number:2 ; day:30 ; month:3 ; year:2022 ; pages:103-121 ; date:4.2022
Journal of photogrammetry, remote sensing and geoinformation science ; 90, Heft 2 (30.3.2022), 103-121, 4.2022

Creator: Hell, Maximilian
Brandmeier, Melanie
Briechle, Sebastian
Krzystek, Peter

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41064-022-00200-4

URN: urn:nbn:de:101:1-2022071019381709110655

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Hell, Maximilian
Brandmeier, Melanie
Briechle, Sebastian
Krzystek, Peter
SpringerLink (Online service)

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Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net

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Other Objects (12)

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Four-point condition matrices of edge-weighted trees

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Processing tree point clouds using Gaussian Mixture Models

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Point matching based on affine invariant centroid trees

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