Abstract
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.
Highlights
The baseline is an important parameter in Interferometry Synthetic Aperture Radar (InSAR)that affects the accuracy of the surface elevation, which is defined as the distance between the two antenna phase centers that illuminate the same area [1]
Latitude and longitude have and errors there is no with correction a large elevation error exists while comparing with Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM)
The acquisition of scientific orbits requires a certain amount of time and the real-time orbit with poor accuracy will be used for DEM reconstruction, which makes a large baseline error and a low measuring precision
Summary
The baseline is an important parameter in Interferometry Synthetic Aperture Radar (InSAR). That affects the accuracy of the surface elevation, which is defined as the distance between the two antenna phase centers that illuminate the same area [1]. The accuracy of calibration parameters plays an important role in real-time Digital Elevation Model (DEM) generation in some special conditions, such as natural disasters. It is a great challenge to improve the accuracy of the baseline which is taken as an important parameter in calibration. A variety of estimation algorithms have been studied to improve the accuracy of the baseline. Many satellite-based InSAR baseline estimation methods have been studied. The basic and typical algorithms [2] of baseline estimation are the satellite orbit state vector method, the external control points method and the Fast Fourier Transformation (FFT) method
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