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,...

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Main Authors: Kourosh Khoshelham, Sylvie Soudarissanane, Corné van der Sande
Format: Article
Language:English
Published: MDPI AG 2010-09-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/10/9/8198/
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spelling doaj-98148365806b4021a4140913d0956cc32020-11-24T22:20:29ZengMDPI AGSensors1424-82202010-09-011098198821410.3390/s100908198Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar FeaturesKourosh KhoshelhamSylvie SoudarissananeCorné van der SandeAHN-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. http://www.mdpi.com/1424-8220/10/9/8198/Airborne Laser Scanningaltimetryaccuracy assessmentstrip adjustmentplanar featuresleast-squares estimation
collection DOAJ
language English
format Article
sources DOAJ
author Kourosh Khoshelham
Sylvie Soudarissanane
Corné van der Sande
spellingShingle Kourosh Khoshelham
Sylvie Soudarissanane
Corné van der Sande
Assessment of Relative Accuracy of AHN-2 Laser Scanning Data Using Planar Features
Sensors
Airborne Laser Scanning
altimetry
accuracy assessment
strip adjustment
planar features
least-squares estimation
author_facet Kourosh Khoshelham
Sylvie Soudarissanane
Corné van der Sande
author_sort Kourosh Khoshelham
title 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_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_sort assessment of relative accuracy of ahn-2 laser scanning data using planar features
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2010-09-01
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.
topic Airborne Laser Scanning
altimetry
accuracy assessment
strip adjustment
planar features
least-squares estimation
url http://www.mdpi.com/1424-8220/10/9/8198/
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AT sylviesoudarissanane assessmentofrelativeaccuracyofahn2laserscanningdatausingplanarfeatures
AT cornevandersande assessmentofrelativeaccuracyofahn2laserscanningdatausingplanarfeatures
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