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Range Image Segmentation for Tree Detection in Forest Scans : Volume Ii-5/W2, Issue 1 (16/10/2013)

By Bienert, A.

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Book Id: WPLBN0004014150
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Range Image Segmentation for Tree Detection in Forest Scans : Volume Ii-5/W2, Issue 1 (16/10/2013)  
Author: Bienert, A.
Volume: Vol. II-5/W2, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Bienert, A., & Schneider, D. (2013). Range Image Segmentation for Tree Detection in Forest Scans : Volume Ii-5/W2, Issue 1 (16/10/2013). Retrieved from

Description: Technische Universität Dresden, Institute of Photogrammetry and Remote Sensing, 01062 Dresden, Germany. To make a tree-wise analysis inside a forest stand, the trees have to be identified. An interactive segmentation is often labourintensive and time-consuming. Therefore, an automatic detection process will aspired using a range image. This paper presents a method for the segmentation of range images extracted from terrestrial laser scanner point clouds of forest stands. After range image generation the segmentation is carried out with a connectivity analysis using the differences of the range values as homogeneity criterion. Subsequently, the tree detection is performed interactively by analysing one horizontal image line. When passing objects with a specific width, the object indicates a potential tree. By using the edge points of a segmented pixel group the tree position and diameter is calculated. Results from one test site are presented to show the performance of the method.

Range image segmentation for tree detection in forest scans


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