Deep unsupervised learning for 3D ALS point clouds change detection

Deep unsupervised learning for 3D ALS point clouds change detection

Change detection from traditional 2D optical images has limited capability to model the changes in the height or shape of objects. Change detection using 3D point cloud from photogrammetry or LiDAR surveying can fill this gap by providing critical depth information. While most existing machine learn...

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Bibliographic Details
Main Authors: Iris de Gélis, Sudipan Saha, Muhammad Shahzad, Thomas Corpetti, Sébastien Lefèvre, Xiao Xiang Zhu
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:ISPRS Open Journal of Photogrammetry and Remote Sensing
Subjects:
3D point clouds
Change detection
Self-supervised learning
Unsupervised deep learning
Aerial LiDAR survey
Online Access:http://www.sciencedirect.com/science/article/pii/S2667393223000157

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http://www.sciencedirect.com/science/article/pii/S2667393223000157

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