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...
Main Authors: | Tianyang Dong, Qizheng Zhou, Sibin Gao, Ying Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-05-01
|
Series: | Forests |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4907/9/6/291 |
Similar Items
-
Tree Height Growth Measurement with Single-Scan Airborne, Static Terrestrial and Mobile Laser Scanning
by: Yi Lin, et al.
Published: (2012-09-01) -
Spatial Models With Inter-Tree Competition From Airborne Laser Scanning Improve Estimates of Genetic Variance
by: David Pont, et al.
Published: (2021-01-01) -
Detectability of Repeated Airborne Laser Scanning for Mountain Landslide Monitoring
by: Lin Xiong, et al.
Published: (2018-12-01) -
Identification of individual trees and groups of trees in the landscape using airborne laser scanning data
by: Robert Smreček, et al.
Published: (2014-09-01) -
Evaluation of airborne laser scanning data for tree parameters and terrain modelling in forest environment
by: Tomáš Mikita, et al.
Published: (2013-01-01)