Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning

Hyperspectral image-aided LiDAR point cloud labeling via spatio-spectral feature representation learning

Urban scene-level 3D point cloud labeling is a very laborious and expensive task compared to images. Conversely however, image processing techniques, deep learning or otherwise are more established and mature. Thus, in a multi-source data environment, the labeling of a point cloud scene via an autom...

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Bibliographic Details
Main Authors: Perpetual Hope Akwensi, Zhizhong Kang, Ruisheng Wang
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Airborne LiDAR
Hyperspectral image
Dimensionality reduction
Convolutional deep belief network
Stack ensemble learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223001243

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http://www.sciencedirect.com/science/article/pii/S1569843223001243

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