Header

UZH-Logo

Maintenance Infos

Individual tree segmentation in deciduous forests using geodesic voting


Parkan, Matthew; Tuia, Devis (2015). Individual tree segmentation in deciduous forests using geodesic voting. In: IGARSS 2015, Milan (Italy), 26 July 2015 - 31 July 2015, 637-640.

Abstract

Airborne Laser Scanning (ALS) has been widely used to survey forest areas. The extraction (segmentation) of indi- vidual trees from ALS point clouds is a prerequisite step for tree biophysical parameter estimation. For this purpose, we develop and evaluate a graph based segmentation algorithm adapted to deciduous forests scanned with high density Li- DAR (~50 points / m2) in leaf-off conditions. The algorithm is applied to a 1 ha deciduous forest plot in western Switzer- land and the accuracy of individual trunk locations is eval- uated in terms of recall, precision and F-score. The results indicate that the algorithm performs satisfactorily within the experimental setup conditions.

Abstract

Airborne Laser Scanning (ALS) has been widely used to survey forest areas. The extraction (segmentation) of indi- vidual trees from ALS point clouds is a prerequisite step for tree biophysical parameter estimation. For this purpose, we develop and evaluate a graph based segmentation algorithm adapted to deciduous forests scanned with high density Li- DAR (~50 points / m2) in leaf-off conditions. The algorithm is applied to a 1 ha deciduous forest plot in western Switzer- land and the accuracy of individual trunk locations is eval- uated in terms of recall, precision and F-score. The results indicate that the algorithm performs satisfactorily within the experimental setup conditions.

Statistics

Altmetrics

Downloads

2 downloads since deposited on 14 Jan 2016
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:31 July 2015
Deposited On:14 Jan 2016 09:00
Last Modified:08 Dec 2017 16:57
Publisher:IEEE
ISBN:978-1-4799-7929-5
Free access at:Official URL. An embargo period may apply.
Official URL:http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7325844

Download

Content: Published Version
Language: English
Filetype: PDF - Registered users only
Size: 2MB