IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA

The European FP7 project IQmulus yearly organizes several processing contests, where submissions are requested for novel algorithms for point cloud and other <i>big</i> geodata processing. This paper describes the set-up and execution of a contest having the purpose to evaluate state-of-...

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Main Authors: B. Gorte, S. Oude Elberink, B. Sirmacek, J. Wang
Format: Article
Language:English
Published: Copernicus Publications 2015-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/607/2015/isprsarchives-XL-3-W3-607-2015.pdf
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spelling doaj-c4d0875526ab4780ae974e505f1ed3402020-11-24T23:26:36ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-08-01XL-3/W360761210.5194/isprsarchives-XL-3-W3-607-2015IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATAB. Gorte0S. Oude Elberink1B. Sirmacek2J. Wang3Dept. of Geoscience and Remote Sensing, TU Delft, the NetherlandsITC, University of Twente, the NetherlandsDept. of Geoscience and Remote Sensing, TU Delft, the NetherlandsDept. of Geoscience and Remote Sensing, TU Delft, the NetherlandsThe European FP7 project IQmulus yearly organizes several processing contests, where submissions are requested for novel algorithms for point cloud and other <i>big</i> geodata processing. This paper describes the set-up and execution of a contest having the purpose to evaluate state-of-the-art algorithms for Mobile Mapping System point clouds, in order to detect and identify (individual) trees. By the nature of MMS these are trees in the vicinity of the road network (rather than in forests). Therefore, part of the challenge is distinguishing between trees and other objects, such as buildings, street furniture, cars etc. Three submitted segmentation and classification algorithms are thus evaluated.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/607/2015/isprsarchives-XL-3-W3-607-2015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author B. Gorte
S. Oude Elberink
B. Sirmacek
J. Wang
spellingShingle B. Gorte
S. Oude Elberink
B. Sirmacek
J. Wang
IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet B. Gorte
S. Oude Elberink
B. Sirmacek
J. Wang
author_sort B. Gorte
title IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
title_short IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
title_full IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
title_fullStr IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
title_full_unstemmed IQPC 2015 TRACK: TREE SEPARATION AND CLASSIFICATION IN MOBILE MAPPING LIDAR DATA
title_sort iqpc 2015 track: tree separation and classification in mobile mapping lidar data
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2015-08-01
description The European FP7 project IQmulus yearly organizes several processing contests, where submissions are requested for novel algorithms for point cloud and other <i>big</i> geodata processing. This paper describes the set-up and execution of a contest having the purpose to evaluate state-of-the-art algorithms for Mobile Mapping System point clouds, in order to detect and identify (individual) trees. By the nature of MMS these are trees in the vicinity of the road network (rather than in forests). Therefore, part of the challenge is distinguishing between trees and other objects, such as buildings, street furniture, cars etc. Three submitted segmentation and classification algorithms are thus evaluated.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/607/2015/isprsarchives-XL-3-W3-607-2015.pdf
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