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Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model
Epipolar resampling aims to eliminate the vertical parallax of stereo images. Due to the dynamic nature of the exterior orientation parameters of linear pushbroom satellite imagery and the complexity of reconstructing the epipolar geometry using rigorous sensor models, so far, no epipolar resampling...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298702/ https://www.ncbi.nlm.nih.gov/pubmed/28085044 http://dx.doi.org/10.3390/s17010129 |
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author | Jannati, Mojtaba Valadan Zoej, Mohammad Javad Mokhtarzade, Mehdi |
author_facet | Jannati, Mojtaba Valadan Zoej, Mohammad Javad Mokhtarzade, Mehdi |
author_sort | Jannati, Mojtaba |
collection | PubMed |
description | Epipolar resampling aims to eliminate the vertical parallax of stereo images. Due to the dynamic nature of the exterior orientation parameters of linear pushbroom satellite imagery and the complexity of reconstructing the epipolar geometry using rigorous sensor models, so far, no epipolar resampling approach has been proposed based on these models. In this paper for the first time it is shown that the orientation of the instantaneous baseline (IB) of conjugate image points (CIPs) in the linear pushbroom satellite imagery can be modeled with high precision in terms of the rows- and the columns-number of CIPs. Taking advantage of this feature, a novel approach is then presented for epipolar resampling of cross-track linear pushbroom satellite imagery. The proposed method is based on the rigorous sensor model. As the instantaneous position of sensors remains fixed, the digital elevation model of the area of interest is not required in the resampling process. Experimental results obtained from two pairs of SPOT and one pair of RapidEye stereo imagery with different terrain conditions shows that the proposed epipolar resampling approach benefits from a superior accuracy, as the remained vertical parallaxes of all CIPs in the normalized images are close to zero. |
format | Online Article Text |
id | pubmed-5298702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-52987022017-02-10 Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model Jannati, Mojtaba Valadan Zoej, Mohammad Javad Mokhtarzade, Mehdi Sensors (Basel) Article Epipolar resampling aims to eliminate the vertical parallax of stereo images. Due to the dynamic nature of the exterior orientation parameters of linear pushbroom satellite imagery and the complexity of reconstructing the epipolar geometry using rigorous sensor models, so far, no epipolar resampling approach has been proposed based on these models. In this paper for the first time it is shown that the orientation of the instantaneous baseline (IB) of conjugate image points (CIPs) in the linear pushbroom satellite imagery can be modeled with high precision in terms of the rows- and the columns-number of CIPs. Taking advantage of this feature, a novel approach is then presented for epipolar resampling of cross-track linear pushbroom satellite imagery. The proposed method is based on the rigorous sensor model. As the instantaneous position of sensors remains fixed, the digital elevation model of the area of interest is not required in the resampling process. Experimental results obtained from two pairs of SPOT and one pair of RapidEye stereo imagery with different terrain conditions shows that the proposed epipolar resampling approach benefits from a superior accuracy, as the remained vertical parallaxes of all CIPs in the normalized images are close to zero. MDPI 2017-01-11 /pmc/articles/PMC5298702/ /pubmed/28085044 http://dx.doi.org/10.3390/s17010129 Text en © 2017 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 Jannati, Mojtaba Valadan Zoej, Mohammad Javad Mokhtarzade, Mehdi Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model |
title | Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model |
title_full | Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model |
title_fullStr | Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model |
title_full_unstemmed | Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model |
title_short | Epipolar Resampling of Cross-Track Pushbroom Satellite Imagery Using the Rigorous Sensor Model |
title_sort | epipolar resampling of cross-track pushbroom satellite imagery using the rigorous sensor model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298702/ https://www.ncbi.nlm.nih.gov/pubmed/28085044 http://dx.doi.org/10.3390/s17010129 |
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