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Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees

Supervised deep learning algorithms have recently achieved state-of-the-art performance in the classification, segmentation and analysis of 3D LiDAR point cloud data in a wide-range of applications and environments. One of the main downsides of deep learning-based approaches is the need for extensiv...

Deskribapen osoa

Gorde:
Egile Nagusiak: Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Elsevier 2024-12-01
Saila:ISPRS Open Journal of Photogrammetry and Remote Sensing
Gaiak:
Deep learning
Synthetic data
Domain adaptation
LiDAR
Laser scanning
Forests
Sarrera elektronikoa:http://www.sciencedirect.com/science/article/pii/S266739322400022X
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