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Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features
AHN-2 is the second part of the Actueel Hoogtebestand Nederland project, which concerns the acquisition of high-resolution altimetry data over the entire Netherlands using airborne laser scanning. The accuracy assessment of laser altimetry data usually relies on comparing corresponding tie elements,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231245/ https://www.ncbi.nlm.nih.gov/pubmed/22163650 http://dx.doi.org/10.3390/s100908198 |
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author | van der Sande, Corné Soudarissanane, Sylvie Khoshelham, Kourosh |
author_facet | van der Sande, Corné Soudarissanane, Sylvie Khoshelham, Kourosh |
author_sort | van der Sande, Corné |
collection | PubMed |
description | AHN-2 is the second part of the Actueel Hoogtebestand Nederland project, which concerns the acquisition of high-resolution altimetry data over the entire Netherlands using airborne laser scanning. The accuracy assessment of laser altimetry data usually relies on comparing corresponding tie elements, often points or lines, in the overlapping strips. This paper proposes a new approach to strip adjustment and accuracy assessment of AHN-2 data by using planar features. In the proposed approach a transformation is estimated between two overlapping strips by minimizing the distances between points in one strip and their corresponding planes in the other. The planes and the corresponding points are extracted in an automated segmentation process. The point-to-plane distances are used as observables in an estimation model, whereby the parameters of a transformation between the two strips and their associated quality measures are estimated. We demonstrate the performance of the method for the accuracy assessment of the AHN-2 dataset over Zeeland province of The Netherlands. The results show vertical offsets of up to 4 cm between the overlapping strips, and horizontal offsets ranging from 2 cm to 34 cm. |
format | Online Article Text |
id | pubmed-3231245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32312452011-12-07 Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features van der Sande, Corné Soudarissanane, Sylvie Khoshelham, Kourosh Sensors (Basel) Article AHN-2 is the second part of the Actueel Hoogtebestand Nederland project, which concerns the acquisition of high-resolution altimetry data over the entire Netherlands using airborne laser scanning. The accuracy assessment of laser altimetry data usually relies on comparing corresponding tie elements, often points or lines, in the overlapping strips. This paper proposes a new approach to strip adjustment and accuracy assessment of AHN-2 data by using planar features. In the proposed approach a transformation is estimated between two overlapping strips by minimizing the distances between points in one strip and their corresponding planes in the other. The planes and the corresponding points are extracted in an automated segmentation process. The point-to-plane distances are used as observables in an estimation model, whereby the parameters of a transformation between the two strips and their associated quality measures are estimated. We demonstrate the performance of the method for the accuracy assessment of the AHN-2 dataset over Zeeland province of The Netherlands. The results show vertical offsets of up to 4 cm between the overlapping strips, and horizontal offsets ranging from 2 cm to 34 cm. Molecular Diversity Preservation International (MDPI) 2010-09-01 /pmc/articles/PMC3231245/ /pubmed/22163650 http://dx.doi.org/10.3390/s100908198 Text en © 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article van der Sande, Corné Soudarissanane, Sylvie Khoshelham, Kourosh Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features |
title | Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features |
title_full | Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features |
title_fullStr | Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features |
title_full_unstemmed | Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features |
title_short | Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features |
title_sort | assessment of relative accuracy of ahn-2 laser scanning data using planar features |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231245/ https://www.ncbi.nlm.nih.gov/pubmed/22163650 http://dx.doi.org/10.3390/s100908198 |
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