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Sensors 2017, 17(9), 2005;

Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
School of Geomatics, Liaoning Technical University, Fuxin 123000, China
Author to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 26 August 2017 / Accepted: 26 August 2017 / Published: 1 September 2017
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
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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. View Full-Text
Keywords: GF-3; RPC model; Geometric correction; Accuracy GF-3; RPC model; Geometric correction; Accuracy

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Wang, T.; Zhang, G.; Yu, L.; Zhao, R.; Deng, M.; Xu, K. Multi-Mode GF-3 Satellite Image Geometric Accuracy Verification Using the RPC Model. Sensors 2017, 17, 2005.

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