Range image segmentation for tree detection in forest scans
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 image...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2013-10-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/49/2013/isprsannals-II-5-W2-49-2013.pdf |
Summary: | 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. |
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ISSN: | 2194-9042 2194-9050 |