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Open AccessArticle

InSAR Baseline Estimation for Gaofen-3 Real-Time DEM Generation

National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China
Institute of Space-Terrestrial Intelligent Networks (ISTIN) Group, Nanjing University, Nanjing 210023, China
Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing 100094, China
Author to whom correspondence should be addressed.
Sensors 2018, 18(7), 2152;
Received: 25 May 2018 / Revised: 29 June 2018 / Accepted: 1 July 2018 / Published: 4 July 2018
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
For Interferometry Synthetic Aperture Radar (InSAR), the normal baseline is one of the main factors that affects the accuracy of the ground elevation. For Gaofen-3 (GF-3) InSAR processing, the poor accuracy of the real-time orbit determination results in a large baseline error, leads to a modulation error in azimuth and a slope error in the range for timely Digital Elevation Model (DEM) generation. In order to address this problem, a novel baseline estimation approach based on Shuttle Radar Topography Mission (SRTM) DEM is proposed in this paper. Firstly, the orbit fitting is executed to remove the non-linear error factor, which is different from traditional methods. Secondly, the height errors are obtained in a slant-range plane between SRTM DEM and the GF-3 generated DEM, which can be used to estimate the baseline error with a linear variation. Then, the real-time orbit can be calibrated by the baseline error. Finally, the DEM generation is performed by using the modified baseline and orbit. This approach has the merit of spatial and precise orbital free ability. Based on the results of GF-3 interferometric SAR data for Hebei, the effectiveness of the proposed algorithm is verified and the accuracy of GF-3 real-time DEM products can be improved extensively. View Full-Text
Keywords: GF-3; InSAR; DEM; baseline estimation; real-time orbit GF-3; InSAR; DEM; baseline estimation; real-time orbit
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Lu, H.; Suo, Z.; Li, Z.; Xie, J.; Zhao, J.; Zhang, Q. InSAR Baseline Estimation for Gaofen-3 Real-Time DEM Generation. Sensors 2018, 18, 2152.

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