Decomposition of LiDAR waveforms by B-spline-based modeling-Reference-Cited by-同舟云学术

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Decomposition of LiDAR waveforms by B-spline-based modeling

Published:2017-06 Issue: Volume:128 Page:182-191
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Shen Xiang,Li Qing-Quan,Wu Guofeng^ORCID,Zhu Jiasong

Funder

Beijing Key Laboratory of Urban Spatial Information Engineering

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Shenzhen future industry development funding program

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference45 articles.

1. Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals;Allouis;IEEE J. Sel. Topics Appl. Earth Observations Remote Sens.,2013

2. Airborne laser scanning: basic relations and formulas;Baltsavias;ISPRS J. Photogramm. Remote Sens.,1999

3. Regional aboveground forest biomass using airborne and spaceborne LiDAR in Quebec;Boudreau;Remote Sens. Environ.,2008

4. Processing full-waveform lidar data: modeling raw signals, International Archives of Photogrammetry;Chauve;Remote Sens. Spatial Sci.,2007

5. Advanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest;Chauve;Int. J. Remote Sens.,2009

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2. Full-waveform hyperspectral LiDAR data decomposition via ranking central locations of natural target echoes (Rclonte) at different wavelengths;Remote Sensing of Environment;2024-08

3. Decomposition of full-waveform LiDAR data utilizing an adaptive B-spline-based model and particle swarm optimization;Measurement;2024-08

4. A High-Resolution and Efficient Waveform Decomposition Method for Small-Footprint LiDAR;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Toward an Advanced Method for Full-Waveform Hyperspectral LiDAR Data Processing;IEEE Transactions on Geoscience and Remote Sensing;2024

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