Title
InSAR Baseline Estimation for Gaofen-3 Real-Time DEM Generation.
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.
Year
DOI
Venue
2018
10.3390/s18072152
SENSORS
Keywords
Field
DocType
GF-3,InSAR,DEM,baseline estimation,real-time orbit
Data mining,Interferometric synthetic aperture radar,Electronic engineering,Engineering
Journal
Volume
Issue
Citations 
18
7.0
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Huan Lu100.34
ZhiYong Suo2406.23
Zhenfang Li310311.78
Jinwei Xie420.73
Jiwei Zhao500.34
Qingjun Zhang64916.84