The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points

The accuracy of photogrammetric and Lidar dataset integration is dependent on the quality of a group of parameters that models accurately the conditions of the system at the moment of the survey. In this sense, this paper aims to study the effect of the sub-block position in the entire image block t...

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Main Authors: Felipe A. L. Costa, Edson A. Mitishita, Marlo Martins
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/2/260
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spelling doaj-1cdd252418494ed9aa1eba8628cee4412020-11-24T23:46:31ZengMDPI AGRemote Sensing2072-42922018-02-0110226010.3390/rs10020260rs10020260The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control PointsFelipe A. L. Costa0Edson A. Mitishita1Marlo Martins2Diretoria de Serviço Geográfico (DSG), Quartel General do Exército, Brasília 70630-901, BrazilDepartment of Geomatics, Federal University of Paraná (UFPR), Curitiba 81531-990, BrazilDepartment of Geomatics, Federal University of Paraná (UFPR), Curitiba 81531-990, BrazilThe accuracy of photogrammetric and Lidar dataset integration is dependent on the quality of a group of parameters that models accurately the conditions of the system at the moment of the survey. In this sense, this paper aims to study the effect of the sub-block position in the entire image block to estimate the interior orientation parameters (IOP) in flight conditions to be used in integrated sensor orientation (ISO). For this purpose, five sub-blocks were extracted in different regions of the entire block. Then, in situ camera calibrations were performed using sub-blocks and sets of Lidar control points (LCPs), computed by a three planes’ intersection extracted from the Lidar point cloud on building roofs. The ISO experiments were performed using IOPs from in situ calibrations, the entire image block, and the exterior orientation parameters (EOP) from the direct sensor orientation (DSO). Analysis of the results obtained from the ISO experiments performed show that the IOP from the sub-block positioned at the center of the entire image block can be recommended.http://www.mdpi.com/2072-4292/10/2/260direct sensor orientation (DSO)in situ camera calibrationintegrated sensor orientationLidar control points
collection DOAJ
language English
format Article
sources DOAJ
author Felipe A. L. Costa
Edson A. Mitishita
Marlo Martins
spellingShingle Felipe A. L. Costa
Edson A. Mitishita
Marlo Martins
The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points
Remote Sensing
direct sensor orientation (DSO)
in situ camera calibration
integrated sensor orientation
Lidar control points
author_facet Felipe A. L. Costa
Edson A. Mitishita
Marlo Martins
author_sort Felipe A. L. Costa
title The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points
title_short The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points
title_full The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points
title_fullStr The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points
title_full_unstemmed The Influence of Sub-Block Position on Performing Integrated Sensor Orientation Using In Situ Camera Calibration and Lidar Control Points
title_sort influence of sub-block position on performing integrated sensor orientation using in situ camera calibration and lidar control points
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-02-01
description The accuracy of photogrammetric and Lidar dataset integration is dependent on the quality of a group of parameters that models accurately the conditions of the system at the moment of the survey. In this sense, this paper aims to study the effect of the sub-block position in the entire image block to estimate the interior orientation parameters (IOP) in flight conditions to be used in integrated sensor orientation (ISO). For this purpose, five sub-blocks were extracted in different regions of the entire block. Then, in situ camera calibrations were performed using sub-blocks and sets of Lidar control points (LCPs), computed by a three planes’ intersection extracted from the Lidar point cloud on building roofs. The ISO experiments were performed using IOPs from in situ calibrations, the entire image block, and the exterior orientation parameters (EOP) from the direct sensor orientation (DSO). Analysis of the results obtained from the ISO experiments performed show that the IOP from the sub-block positioned at the center of the entire image block can be recommended.
topic direct sensor orientation (DSO)
in situ camera calibration
integrated sensor orientation
Lidar control points
url http://www.mdpi.com/2072-4292/10/2/260
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