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Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area

Bowei Chen Orcid Logo, Yong Pang Orcid Logo, Zengyuan Li, Hao Lu Orcid Logo, Luxia Liu, Peter North Orcid Logo, J. A. B. Rosette, Jacqueline Rosette Orcid Logo

IEEE Geoscience and Remote Sensing Letters, Volume: 16, Issue: 9, Pages: 1447 - 1451

Swansea University Authors: Peter North Orcid Logo, Jacqueline Rosette Orcid Logo

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DOI (Published version): 10.1109/lgrs.2019.2899011

Published in: IEEE Geoscience and Remote Sensing Letters
ISSN: 1545-598X 1558-0571
Published: Institute of Electrical and Electronics Engineers (IEEE) 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa50230
first_indexed 2019-05-09T20:01:15Z
last_indexed 2023-01-11T14:26:37Z
id cronfa50230
recordtype SURis
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spelling 2022-11-01T14:03:01.0401234 v2 50230 2019-05-03 Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 0307f116e8f87a83cf4080c493fb7590 0000-0002-2589-0244 Jacqueline Rosette Jacqueline Rosette true false 2019-05-03 BGPS Journal Article IEEE Geoscience and Remote Sensing Letters 16 9 1447 1451 Institute of Electrical and Electronics Engineers (IEEE) 1545-598X 1558-0571 1 9 2019 2019-09-01 10.1109/lgrs.2019.2899011 http://dx.doi.org/10.1109/lgrs.2019.2899011 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2022-11-01T14:03:01.0401234 2019-05-03T21:27:52.2879331 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Bowei Chen 0000-0002-6377-1094 1 Yong Pang 0000-0002-9760-6580 2 Zengyuan Li 3 Hao Lu 0000-0002-3083-4909 4 Luxia Liu 5 Peter North 0000-0001-9933-6935 6 J. A. B. Rosette 7 Jacqueline Rosette 0000-0002-2589-0244 8 0050230-03052019213536.pdf Bowei_et_al_2019.pdf 2019-05-03T21:35:36.3530000 Output 5084310 application/pdf Accepted Manuscript true 2019-08-27T00:00:00.0000000 true eng
title Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
spellingShingle Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
Peter North
Jacqueline Rosette
title_short Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
title_full Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
title_fullStr Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
title_full_unstemmed Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
title_sort Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area
author_id_str_mv fc45a0cb36c24d6cf35313a8c808652f
0307f116e8f87a83cf4080c493fb7590
author_id_fullname_str_mv fc45a0cb36c24d6cf35313a8c808652f_***_Peter North
0307f116e8f87a83cf4080c493fb7590_***_Jacqueline Rosette
author Peter North
Jacqueline Rosette
author2 Bowei Chen
Yong Pang
Zengyuan Li
Hao Lu
Luxia Liu
Peter North
J. A. B. Rosette
Jacqueline Rosette
format Journal article
container_title IEEE Geoscience and Remote Sensing Letters
container_volume 16
container_issue 9
container_start_page 1447
publishDate 2019
institution Swansea University
issn 1545-598X
1558-0571
doi_str_mv 10.1109/lgrs.2019.2899011
publisher Institute of Electrical and Electronics Engineers (IEEE)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
url http://dx.doi.org/10.1109/lgrs.2019.2899011
document_store_str 1
active_str 0
published_date 2019-09-01T04:38:37Z
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score 11.089386

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