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Automatic Extraction of Grasses and Individual Trees in Urban Areas Based on Airborne Hyperspectral and LiDAR Data
This article proposes a three-dimensional (3D) vegetation extraction workflow to extract urban grasses and trees at individual tree level in urban areas using airborne LiDAR and hyperspectral data. Results suggest that two- and three-dimensional urban vegetation extraction could play a significant role in spatial layout optimization and scientific management of urban vegetation.
Date:
August 23, 2020
Creator:
Man, Qixia; Dong, Pinliang; Yang, Xinming; Wu, Quanyuan & Han, Rongqing
System:
The UNT Digital Library