Automatic Detection of Single Trees in Airborne Laser Scanning Data through Gradient Orientation Clustering

Automatic Detection of Single Trees in Airborne Laser Scanning Data through Gradient Orientation Clustering

Currently, existing methods for single-tree detection based on airborne laser scanning (ALS) data usually require some thresholds and parameters to be set manually. Manually setting threshold or parameters is laborious and time-consuming, and for dense forests, the high commission and omission rate...

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Bibliographic Details
Main Authors: Tianyang Dong, Qizheng Zhou, Sibin Gao, Ying Shen
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Forests
Subjects:
single-tree detection
airborne laser scanning (ALS)
gradient orientation clustering (GOC)
NEW technologies for a better mountain FORest timber mobilization (NEWFOR)
Online Access:http://www.mdpi.com/1999-4907/9/6/291

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http://www.mdpi.com/1999-4907/9/6/291

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