Hybrid Ensemble Classification of Tree Genera Using Airborne LiDAR Data

Hybrid Ensemble Classification of Tree Genera Using Airborne LiDAR Data

This paper presents a hybrid ensemble method that is comprised of a sequential and a parallel architecture for the classification of tree genus using LiDAR (Light Detection and Ranging) data. The two classifiers use different sets of features: (1) features derived from geometric information, and (2)...

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Bibliographic Details
Main Authors: Connie Ko, Gunho Sohn, Tarmo K. Remmel, John Miller
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:Remote Sensing
Subjects:
LiDAR
ensemble classification
tree genera
Random Forests
Online Access:http://www.mdpi.com/2072-4292/6/11/11225

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