Correcting the Results of CHM-Based Individual Tree Detection Algorithms to Improve Their Accuracy and Reliability

Correcting the Results of CHM-Based Individual Tree Detection Algorithms to Improve Their Accuracy and Reliability

Individual tree detection algorithms (ITD) are used to obtain accurate information about trees. Following the process of individual tree detection, it is possible to use additional processing tools to determine tree parameters such as tree height, crown base height, crown volume, or stem volume. How...

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Bibliographic Details
Main Authors:	Maciej Lisiewicz, Agnieszka Kamińska, Bartłomiej Kraszewski, Krzysztof Stereńczak
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Remote Sensing
Subjects:	individual tree detection (ITD) error correction under-segmentation over-segmentation canopy height model (CHM) airborne laser scanning (ALS)
Online Access:	https://www.mdpi.com/2072-4292/14/8/1822

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