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Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model
The GaoFen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) imaging satellite with a resolution up to 1 m in China. It is also the only SAR satellite of the High-Resolution Earth Observation System designed for civilian use. There are 12 different imaging mode...
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/PMC5621125/ https://www.ncbi.nlm.nih.gov/pubmed/28862658 http://dx.doi.org/10.3390/s17092005 |
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author | Wang, Taoyang Zhang, Guo Yu, Lei Zhao, Ruishan Deng, Mingjun Xu, Kai |
author_facet | Wang, Taoyang Zhang, Guo Yu, Lei Zhao, Ruishan Deng, Mingjun Xu, Kai |
author_sort | Wang, Taoyang |
collection | PubMed |
description | The GaoFen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) imaging satellite with a resolution up to 1 m in China. It is also the only SAR satellite of the High-Resolution Earth Observation System designed for civilian use. There are 12 different imaging models to meet the needs of different industry users. However, to use SAR satellite images for related applications, they must possess high geometric accuracy. In order to verify the geometric accuracy achieved by the different modes of GF-3 images, we analyze the SAR geometric error source and perform geometric correction tests based on the RPC model with and without ground control points (GCPs) for five imaging modes. These include the spotlight (SL), ultra-fine strip (UFS), Fine Strip I (FSI), Full polarized Strip I (QPSI), and standard strip (SS) modes. Experimental results show that the check point residuals are large and consistent without GCPs, but the root mean square error of the independent checkpoints for the case of four corner control points is better than 1.5 pixels, achieving a similar level of geometric positioning accuracy to that of international satellites. We conclude that the GF-3 satellite can be used for high-accuracy geometric processing and related industry applications. |
format | Online Article Text |
id | pubmed-5621125 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56211252017-10-03 Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model Wang, Taoyang Zhang, Guo Yu, Lei Zhao, Ruishan Deng, Mingjun Xu, Kai Sensors (Basel) Article The GaoFen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) imaging satellite with a resolution up to 1 m in China. It is also the only SAR satellite of the High-Resolution Earth Observation System designed for civilian use. There are 12 different imaging models to meet the needs of different industry users. However, to use SAR satellite images for related applications, they must possess high geometric accuracy. In order to verify the geometric accuracy achieved by the different modes of GF-3 images, we analyze the SAR geometric error source and perform geometric correction tests based on the RPC model with and without ground control points (GCPs) for five imaging modes. These include the spotlight (SL), ultra-fine strip (UFS), Fine Strip I (FSI), Full polarized Strip I (QPSI), and standard strip (SS) modes. Experimental results show that the check point residuals are large and consistent without GCPs, but the root mean square error of the independent checkpoints for the case of four corner control points is better than 1.5 pixels, achieving a similar level of geometric positioning accuracy to that of international satellites. We conclude that the GF-3 satellite can be used for high-accuracy geometric processing and related industry applications. MDPI 2017-09-01 /pmc/articles/PMC5621125/ /pubmed/28862658 http://dx.doi.org/10.3390/s17092005 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 Wang, Taoyang Zhang, Guo Yu, Lei Zhao, Ruishan Deng, Mingjun Xu, Kai Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model |
title | Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model |
title_full | Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model |
title_fullStr | Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model |
title_full_unstemmed | Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model |
title_short | Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model |
title_sort | multi-mode gf-3 satellite image geometric accuracy verification using the rpc model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621125/ https://www.ncbi.nlm.nih.gov/pubmed/28862658 http://dx.doi.org/10.3390/s17092005 |
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