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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...

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Autores principales: Wang, Taoyang, Zhang, Guo, Yu, Lei, Zhao, Ruishan, Deng, Mingjun, Xu, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
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.
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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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