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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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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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 |
work_keys_str_mv |
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_version_ |
1725554362384646144 |