Accuracy assessment of 3-dimensional LiDAR building extraction

Noraain Mohamed Saraf, Juazer Rizal Abdul Hamid, Maisarah Abdul Halim, Abdul Rauf Abdul Rasam, Saharuddin Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study intent to perform an accuracy assessment of building extraction from Light Detection and Ranging (LiDAR) derived Digital Surface Model (DSM). A normalized DSM was extracted to separate the buildings from other spatial features. Slope and aspect analyses were conducted based upon segmentation to extract building points. Furthermore, height of building was estimated from contour analysis. Hence, an accuracy assessment was done and findings were documented. As a result, the percentage of error assessment was less than 10 percent compared to building footprint. In addition, there was only a slight difference between building's height extracted from LiDAR point cloud and height measured on the ground. It certifies that the height of building estimated from 3-D LiDAR is within 1m tolerance. The segmentation applied based on contour, slope and aspect analyses indicated that the approach can derive reliable and accurate results in extracting building points and estimating building's height. The findings from this study demonstrated the capability and the effectiveness of LiDAR data.

LanguageEnglish
Title of host publicationProceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-266
Number of pages6
ISBN (Electronic)9781538603895
DOIs
Publication statusPublished - May 29 2018
Event14th IEEE International Colloquium on Signal Processing and its Application, CSPA 2018 - Penang, Malaysia
Duration: Mar 9 2018Mar 10 2018

Other

Other14th IEEE International Colloquium on Signal Processing and its Application, CSPA 2018
CountryMalaysia
CityPenang
Period3/9/183/10/18

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Saraf, N. M., Hamid, J. R. A., Halim, M. A., Rasam, A. R. A., & Lin, S. (2018). Accuracy assessment of 3-dimensional LiDAR building extraction. In Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018 (pp. 261-266). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSPA.2018.8368723

Accuracy assessment of 3-dimensional LiDAR building extraction. / Saraf, Noraain Mohamed; Hamid, Juazer Rizal Abdul; Halim, Maisarah Abdul; Rasam, Abdul Rauf Abdul; Lin, Saharuddin.

Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 261-266.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saraf, NM, Hamid, JRA, Halim, MA, Rasam, ARA & Lin, S 2018, Accuracy assessment of 3-dimensional LiDAR building extraction. in Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc., pp. 261-266, 14th IEEE International Colloquium on Signal Processing and its Application, CSPA 2018, Penang, Malaysia, 3/9/18. https://doi.org/10.1109/CSPA.2018.8368723
Saraf NM, Hamid JRA, Halim MA, Rasam ARA, Lin S. Accuracy assessment of 3-dimensional LiDAR building extraction. In Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 261-266 https://doi.org/10.1109/CSPA.2018.8368723
Saraf, Noraain Mohamed ; Hamid, Juazer Rizal Abdul ; Halim, Maisarah Abdul ; Rasam, Abdul Rauf Abdul ; Lin, Saharuddin. / Accuracy assessment of 3-dimensional LiDAR building extraction. Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 261-266
@inproceedings{1a243f4561844e8b86cac9d77ad6ced9,
title = "Accuracy assessment of 3-dimensional LiDAR building extraction",
abstract = "This study intent to perform an accuracy assessment of building extraction from Light Detection and Ranging (LiDAR) derived Digital Surface Model (DSM). A normalized DSM was extracted to separate the buildings from other spatial features. Slope and aspect analyses were conducted based upon segmentation to extract building points. Furthermore, height of building was estimated from contour analysis. Hence, an accuracy assessment was done and findings were documented. As a result, the percentage of error assessment was less than 10 percent compared to building footprint. In addition, there was only a slight difference between building's height extracted from LiDAR point cloud and height measured on the ground. It certifies that the height of building estimated from 3-D LiDAR is within 1m tolerance. The segmentation applied based on contour, slope and aspect analyses indicated that the approach can derive reliable and accurate results in extracting building points and estimating building's height. The findings from this study demonstrated the capability and the effectiveness of LiDAR data.",
author = "Saraf, {Noraain Mohamed} and Hamid, {Juazer Rizal Abdul} and Halim, {Maisarah Abdul} and Rasam, {Abdul Rauf Abdul} and Saharuddin Lin",
year = "2018",
month = "5",
day = "29",
doi = "10.1109/CSPA.2018.8368723",
language = "English",
pages = "261--266",
booktitle = "Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Accuracy assessment of 3-dimensional LiDAR building extraction

AU - Saraf, Noraain Mohamed

AU - Hamid, Juazer Rizal Abdul

AU - Halim, Maisarah Abdul

AU - Rasam, Abdul Rauf Abdul

AU - Lin, Saharuddin

PY - 2018/5/29

Y1 - 2018/5/29

N2 - This study intent to perform an accuracy assessment of building extraction from Light Detection and Ranging (LiDAR) derived Digital Surface Model (DSM). A normalized DSM was extracted to separate the buildings from other spatial features. Slope and aspect analyses were conducted based upon segmentation to extract building points. Furthermore, height of building was estimated from contour analysis. Hence, an accuracy assessment was done and findings were documented. As a result, the percentage of error assessment was less than 10 percent compared to building footprint. In addition, there was only a slight difference between building's height extracted from LiDAR point cloud and height measured on the ground. It certifies that the height of building estimated from 3-D LiDAR is within 1m tolerance. The segmentation applied based on contour, slope and aspect analyses indicated that the approach can derive reliable and accurate results in extracting building points and estimating building's height. The findings from this study demonstrated the capability and the effectiveness of LiDAR data.

AB - This study intent to perform an accuracy assessment of building extraction from Light Detection and Ranging (LiDAR) derived Digital Surface Model (DSM). A normalized DSM was extracted to separate the buildings from other spatial features. Slope and aspect analyses were conducted based upon segmentation to extract building points. Furthermore, height of building was estimated from contour analysis. Hence, an accuracy assessment was done and findings were documented. As a result, the percentage of error assessment was less than 10 percent compared to building footprint. In addition, there was only a slight difference between building's height extracted from LiDAR point cloud and height measured on the ground. It certifies that the height of building estimated from 3-D LiDAR is within 1m tolerance. The segmentation applied based on contour, slope and aspect analyses indicated that the approach can derive reliable and accurate results in extracting building points and estimating building's height. The findings from this study demonstrated the capability and the effectiveness of LiDAR data.

UR - http://www.scopus.com/inward/record.url?scp=85048788193&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048788193&partnerID=8YFLogxK

U2 - 10.1109/CSPA.2018.8368723

DO - 10.1109/CSPA.2018.8368723

M3 - Conference contribution

SP - 261

EP - 266

BT - Proceedings - 2018 IEEE 14th International Colloquium on Signal Processing and its Application, CSPA 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -