Hyperspectral lidar point cloud segmentation based on geometric and spectral information-Reference-Cited by-同舟云学术

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Hyperspectral lidar point cloud segmentation based on geometric and spectral information

Published:2019-08-07 Issue:17 Volume:27 Page:24043
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Chen Biwu,Shi Shuo,Sun Jia,Gong Wei,Yang Jian,Du Lin,Guo Kuanghui,Wang Binhui,Chen Bowen

Funder

National Basic Research Program of China (973 Program)

National Natural Science Foundation of China (NSFC)

Wuhan Morning Light Plan of Youth Science and Technology

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference64 articles.

1. Synergistic application of geometric and radiometric features of LiDAR data for urban land cover mapping

2. Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds

3. Examining Intrinsic Aerosol-Cloud Interactions in South Asia Through Multiple Satellite Observations

4. Analyzing the performance of the first-derivative fluorescence spectrum for estimating leaf nitrogen concentration

5. Improved progressive morphological filter for digital terrain model generation from airborne lidar data

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