Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures

Bayesian and Classical Machine Learning Methods: A Comparison for Tree Species Classification with LiDAR Waveform Signatures

A plethora of information contained in full-waveform (FW) Light Detection and Ranging (LiDAR) data offers prospects for characterizing vegetation structures. This study aims to investigate the capacity of FW LiDAR data alone for tree species identification through the integration of waveform metrics...

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Bibliographic Details
Main Authors: Tan Zhou, Sorin C. Popescu, A. Michelle Lawing, Marian Eriksson, Bogdan M. Strimbu, Paul C. Bürkner
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Remote Sensing
Subjects:
Bayesian multinomial logistic regression
conditional inference forests
Random forests
waveform signatures
tree segmentation
watershed
composite waveform
decomposition
Online Access:https://www.mdpi.com/2072-4292/10/1/39

Internet

https://www.mdpi.com/2072-4292/10/1/39

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