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Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping

A Digital Elevation Model (DEM) continuously represents a ground surface landform created from photogrammetry and field surveys commonly used to produce topographic maps. However, obtaining aerial photography is costly and often fails to capture areas obstructed by clouds, mist, or haze due to the l...

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Main Authors: Norfaraedayu Azman,, Helmi Zulhaidi M. Shafri,, Ahmad Fikri Abdullah,, Syed Ahmad Fadhli Syed Abdul Rahman,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:http://journalarticle.ukm.my/23223/1/14%20658952275011PB.pdf
http://journalarticle.ukm.my/23223/
https://ejournal.ukm.my/gmjss/index
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spelling my-ukm.journal.232232024-03-14T00:34:55Z http://journalarticle.ukm.my/23223/ Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping Norfaraedayu Azman, Helmi Zulhaidi M. Shafri, Ahmad Fikri Abdullah, Syed Ahmad Fadhli Syed Abdul Rahman, A Digital Elevation Model (DEM) continuously represents a ground surface landform created from photogrammetry and field surveys commonly used to produce topographic maps. However, obtaining aerial photography is costly and often fails to capture areas obstructed by clouds, mist, or haze due to the limitation of the optical systems. Consequently, the data collection process lacks efficiency and incurs high costs. Therefore, this study addresses the challenge of enhancing DEM accuracy through a fusion approach using the Delta Surface Fill (DSF) method to fulfill the need for accurate and detailed representations of topographic maps. The investigation focused on fusing Interferometric Synthetic Aperture Radar (IFSAR) and Light Detection and Ranging (LiDAR) data with distinct spatial resolutions and vertical accuracies to generate a Hybrid DEM. The DSF method was applied to fill gaps and reduce noise, ensuring a seamless fusion of datasets. Quantitative analysis unveiled a significant enhancement in vertical positional accuracy with the Hybrid DEM. The Root Mean Square Error (RMSE) for Hybrid DEM was reduced from 1.065 m to 0.312 m, signifying a remarkable 70.7% improvement over IFSAR DEM. Geomorphological assessments demonstrated the Hybrid DEM's aesthetic precision and spatial resolution superiority, contributing to sharper building edges and more explicit topographic features. Terrain profile analysis validated the robustness of the Hybrid DEM, showcasing strong agreement with LiDAR DEM across varying landscape conditions. The result proved that this study provides valuable insights for researchers and professionals engaged in geospatial data fusion, contributing to the advancement of topographic mapping and related applications. Penerbit Universiti Kebangsaan Malaysia 2023-11-30 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/23223/1/14%20658952275011PB.pdf Norfaraedayu Azman, and Helmi Zulhaidi M. Shafri, and Ahmad Fikri Abdullah, and Syed Ahmad Fadhli Syed Abdul Rahman, (2023) Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping. Geografia : Malaysian Journal of Society and Space, 19 (4). pp. 1-14. ISSN 2180-2491 https://ejournal.ukm.my/gmjss/index
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description A Digital Elevation Model (DEM) continuously represents a ground surface landform created from photogrammetry and field surveys commonly used to produce topographic maps. However, obtaining aerial photography is costly and often fails to capture areas obstructed by clouds, mist, or haze due to the limitation of the optical systems. Consequently, the data collection process lacks efficiency and incurs high costs. Therefore, this study addresses the challenge of enhancing DEM accuracy through a fusion approach using the Delta Surface Fill (DSF) method to fulfill the need for accurate and detailed representations of topographic maps. The investigation focused on fusing Interferometric Synthetic Aperture Radar (IFSAR) and Light Detection and Ranging (LiDAR) data with distinct spatial resolutions and vertical accuracies to generate a Hybrid DEM. The DSF method was applied to fill gaps and reduce noise, ensuring a seamless fusion of datasets. Quantitative analysis unveiled a significant enhancement in vertical positional accuracy with the Hybrid DEM. The Root Mean Square Error (RMSE) for Hybrid DEM was reduced from 1.065 m to 0.312 m, signifying a remarkable 70.7% improvement over IFSAR DEM. Geomorphological assessments demonstrated the Hybrid DEM's aesthetic precision and spatial resolution superiority, contributing to sharper building edges and more explicit topographic features. Terrain profile analysis validated the robustness of the Hybrid DEM, showcasing strong agreement with LiDAR DEM across varying landscape conditions. The result proved that this study provides valuable insights for researchers and professionals engaged in geospatial data fusion, contributing to the advancement of topographic mapping and related applications.
format Article
author Norfaraedayu Azman,
Helmi Zulhaidi M. Shafri,
Ahmad Fikri Abdullah,
Syed Ahmad Fadhli Syed Abdul Rahman,
spellingShingle Norfaraedayu Azman,
Helmi Zulhaidi M. Shafri,
Ahmad Fikri Abdullah,
Syed Ahmad Fadhli Syed Abdul Rahman,
Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping
author_facet Norfaraedayu Azman,
Helmi Zulhaidi M. Shafri,
Ahmad Fikri Abdullah,
Syed Ahmad Fadhli Syed Abdul Rahman,
author_sort Norfaraedayu Azman,
title Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping
title_short Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping
title_full Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping
title_fullStr Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping
title_full_unstemmed Synergizing IFSAR and LiDAR data fusion using Delta Surface Fill for Hybrid DEMs accuracy in topographic mapping
title_sort synergizing ifsar and lidar data fusion using delta surface fill for hybrid dems accuracy in topographic mapping
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2023
url http://journalarticle.ukm.my/23223/1/14%20658952275011PB.pdf
http://journalarticle.ukm.my/23223/
https://ejournal.ukm.my/gmjss/index
_version_ 1794552827242086400
score 13.211869

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