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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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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