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...

詳細記述

書誌詳細

出版年:	ISPRS Open Journal of Photogrammetry and Remote Sensing
主要な著者:	Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2024-12-01
主題:	Deep learning Synthetic data Domain adaptation LiDAR Laser scanning Forests
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S266739322400022X