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Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration

Airborne Light Detection and Ranging (LiDAR) system and digital camera are usually integrated on a flight platform to obtain multi-source data. However, the photogrammetric system calibration is often independent of the LiDAR system and performed by the aerial triangulation method, which needs a tes...

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Autores principales: Ma, Haichi, Ma, Hongchao, Liu, Ke, Luo, Wenjun, Zhang, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570596/
https://www.ncbi.nlm.nih.gov/pubmed/32899588
http://dx.doi.org/10.3390/s20185056
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author Ma, Haichi
Ma, Hongchao
Liu, Ke
Luo, Wenjun
Zhang, Liang
author_facet Ma, Haichi
Ma, Hongchao
Liu, Ke
Luo, Wenjun
Zhang, Liang
author_sort Ma, Haichi
collection PubMed
description Airborne Light Detection and Ranging (LiDAR) system and digital camera are usually integrated on a flight platform to obtain multi-source data. However, the photogrammetric system calibration is often independent of the LiDAR system and performed by the aerial triangulation method, which needs a test field with ground control points. In this paper, we present a method for the direct georeferencing of images collected by a digital camera integrated in an airborne LiDAR system by automatic boresight misalignments calibration with the auxiliary of point cloud. The method firstly uses an image matching to generate a tie point set. Space intersection is then performed to obtain the corresponding object coordinate values of the tie points, while the elevation calculated from the space intersection is replaced by the value from the LiDAR data, resulting in a new object point called Virtual Control Point (VCP). Because boresight misalignments exist, a distance between the tie point and the image point of VCP can be found by collinear equations in that image from which the tie point is selected. An iteration process is performed to minimize the distance with boresight corrections in each epoch, and it stops when the distance is smaller than a predefined threshold or the total number of epochs is reached. Two datasets from real projects were used to validate the proposed method and the experimental results show the effectiveness of the method by being evaluated both quantitatively and visually.
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spelling pubmed-75705962020-10-28 Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration Ma, Haichi Ma, Hongchao Liu, Ke Luo, Wenjun Zhang, Liang Sensors (Basel) Article Airborne Light Detection and Ranging (LiDAR) system and digital camera are usually integrated on a flight platform to obtain multi-source data. However, the photogrammetric system calibration is often independent of the LiDAR system and performed by the aerial triangulation method, which needs a test field with ground control points. In this paper, we present a method for the direct georeferencing of images collected by a digital camera integrated in an airborne LiDAR system by automatic boresight misalignments calibration with the auxiliary of point cloud. The method firstly uses an image matching to generate a tie point set. Space intersection is then performed to obtain the corresponding object coordinate values of the tie points, while the elevation calculated from the space intersection is replaced by the value from the LiDAR data, resulting in a new object point called Virtual Control Point (VCP). Because boresight misalignments exist, a distance between the tie point and the image point of VCP can be found by collinear equations in that image from which the tie point is selected. An iteration process is performed to minimize the distance with boresight corrections in each epoch, and it stops when the distance is smaller than a predefined threshold or the total number of epochs is reached. Two datasets from real projects were used to validate the proposed method and the experimental results show the effectiveness of the method by being evaluated both quantitatively and visually. MDPI 2020-09-05 /pmc/articles/PMC7570596/ /pubmed/32899588 http://dx.doi.org/10.3390/s20185056 Text en © 2020 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Haichi
Ma, Hongchao
Liu, Ke
Luo, Wenjun
Zhang, Liang
Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration
title Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration
title_full Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration
title_fullStr Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration
title_full_unstemmed Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration
title_short Direct Georeferencing for the Images in an Airborne LiDAR System by Automatic Boresight Misalignments Calibration
title_sort direct georeferencing for the images in an airborne lidar system by automatic boresight misalignments calibration
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570596/
https://www.ncbi.nlm.nih.gov/pubmed/32899588
http://dx.doi.org/10.3390/s20185056
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