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Revised progressive morphological method for ground point classification of airborne LiDAR data

Airborne Light Detection and Ranging (LiDAR) has been very effectively used in collecting terrain information over different scales of area. Inevitably, filtering the non-ground returns is the major step of digital terrain model (DTM) generation and this step poses the greatest challenge especially...

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Main Authors: Mohd. Salleha, Mohd. Radhie, Abd. Rahman, Muhammad Zulkarnain, Ismail, Zamri, Abdul Khanan, Mohd. Faisal, Asmadi, Mohd. Asraff
Format: Article
Language:English
Published: Penerbit UTM Press 2019
Subjects:
TH434-437 Quantity surveying
Online Access:http://eprints.utm.my/id/eprint/85117/1/MuhammadZulkarnainAbdRahman2019_RevisedProgressiveMorphologicalMethodforGround.pdf
http://eprints.utm.my/id/eprint/85117/
https://dx.doi.org/10.11113/ijbes.v6.n1-2.380
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spelling my.utm.851172020-03-04T02:16:41Z http://eprints.utm.my/id/eprint/85117/ Revised progressive morphological method for ground point classification of airborne LiDAR data Mohd. Salleha, Mohd. Radhie Abd. Rahman, Muhammad Zulkarnain Ismail, Zamri Abdul Khanan, Mohd. Faisal Asmadi, Mohd. Asraff TH434-437 Quantity surveying Airborne Light Detection and Ranging (LiDAR) has been very effectively used in collecting terrain information over different scales of area. Inevitably, filtering the non-ground returns is the major step of digital terrain model (DTM) generation and this step poses the greatest challenge especially for tropical forest environment which consists of steep undulating terrain and mostly covered by a relatively thick canopy density. The aim of this research is to assess the performance of the Progressive Morphological (PM) algorithm after the implementation of local slope value in the ground filtering process. The improvement on the PM filtering method was done by employing local slope values obtained either using initial filtering of airborne LiDAR data or ground survey data. The filtering process has been performed with recursive mode and it stops after the results of the filtering does not show any improvement and the DTM error larger than the previous iteration. The revised PM filtering method has decreasing pattern of DTM error with increasing filtering iterations with minimum ±0.520 m of RMSE value. The results also suggest that spatially distributed slope value applied in PM filtering algorithm either from LiDAR ground points or ground survey data is capable in preserving discontinuities of terrain and correctly remove non-terrain points especially in steep area. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/85117/1/MuhammadZulkarnainAbdRahman2019_RevisedProgressiveMorphologicalMethodforGround.pdf Mohd. Salleha, Mohd. Radhie and Abd. Rahman, Muhammad Zulkarnain and Ismail, Zamri and Abdul Khanan, Mohd. Faisal and Asmadi, Mohd. Asraff (2019) Revised progressive morphological method for ground point classification of airborne LiDAR data. International Journal of Built Environment and Sustainability, 6 (1-2). pp. 31-38. ISSN 2289-8948 https://dx.doi.org/10.11113/ijbes.v6.n1-2.380 DOI:10.11113/ijbes.v6.n1-2.380
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TH434-437 Quantity surveying
spellingShingle TH434-437 Quantity surveying
Mohd. Salleha, Mohd. Radhie
Abd. Rahman, Muhammad Zulkarnain
Ismail, Zamri
Abdul Khanan, Mohd. Faisal
Asmadi, Mohd. Asraff
Revised progressive morphological method for ground point classification of airborne LiDAR data
description Airborne Light Detection and Ranging (LiDAR) has been very effectively used in collecting terrain information over different scales of area. Inevitably, filtering the non-ground returns is the major step of digital terrain model (DTM) generation and this step poses the greatest challenge especially for tropical forest environment which consists of steep undulating terrain and mostly covered by a relatively thick canopy density. The aim of this research is to assess the performance of the Progressive Morphological (PM) algorithm after the implementation of local slope value in the ground filtering process. The improvement on the PM filtering method was done by employing local slope values obtained either using initial filtering of airborne LiDAR data or ground survey data. The filtering process has been performed with recursive mode and it stops after the results of the filtering does not show any improvement and the DTM error larger than the previous iteration. The revised PM filtering method has decreasing pattern of DTM error with increasing filtering iterations with minimum ±0.520 m of RMSE value. The results also suggest that spatially distributed slope value applied in PM filtering algorithm either from LiDAR ground points or ground survey data is capable in preserving discontinuities of terrain and correctly remove non-terrain points especially in steep area.
format Article
author Mohd. Salleha, Mohd. Radhie
Abd. Rahman, Muhammad Zulkarnain
Ismail, Zamri
Abdul Khanan, Mohd. Faisal
Asmadi, Mohd. Asraff
author_facet Mohd. Salleha, Mohd. Radhie
Abd. Rahman, Muhammad Zulkarnain
Ismail, Zamri
Abdul Khanan, Mohd. Faisal
Asmadi, Mohd. Asraff
author_sort Mohd. Salleha, Mohd. Radhie
title Revised progressive morphological method for ground point classification of airborne LiDAR data
title_short Revised progressive morphological method for ground point classification of airborne LiDAR data
title_full Revised progressive morphological method for ground point classification of airborne LiDAR data
title_fullStr Revised progressive morphological method for ground point classification of airborne LiDAR data
title_full_unstemmed Revised progressive morphological method for ground point classification of airborne LiDAR data
title_sort revised progressive morphological method for ground point classification of airborne lidar data
publisher Penerbit UTM Press
publishDate 2019
url http://eprints.utm.my/id/eprint/85117/1/MuhammadZulkarnainAbdRahman2019_RevisedProgressiveMorphologicalMethodforGround.pdf
http://eprints.utm.my/id/eprint/85117/
https://dx.doi.org/10.11113/ijbes.v6.n1-2.380
_version_ 1662754353840128000
score 13.211869

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