Title:	A METHOD FOR GENERATING CANOPY HEIGHT MODEL FROM LIDAR DATA
Author(s):	Domen Mongus, Borut Žalik
ISBN:	978-972-8939-74-8
Editors:	Yingcai Xiao
Year:	2012
Edition:	Single
Keywords:	Object recognition, LiDAR, canopy height model
Type:	Full Paper
First Page:	47
Last Page:	54
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	The paper presents a new method for generation of canopy height model from LiDAR data. The method arranges the input point-cloud into a grid with resolution that corresponds to the desired resolution of the output model. The segmentation of grid-cells is achieved using watershed algorithm and watershed regions are further classified according to the reflection number of contained points. Digital terrain model and digital surface model on segmented grid-cells are constructed and points lying between them are recognized as vegetation points. According to the results, the accuracy of proposed fully automated approach is approximately 90%.
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