scholarly journals Estimation of Residual Motion Errors in Airborne SAR Interferometry Based on Time-Domain Backprojection and Multisquint Techniques

2018 ◽  
Vol 56 (4) ◽  
pp. 2397-2407 ◽  
Author(s):  
Ning Cao ◽  
Hyongki Lee ◽  
Evan Zaugg ◽  
Ramesh Shrestha ◽  
William E. Carter ◽  
...  
Author(s):  
C. Dou ◽  
H. Guo ◽  
C. Han ◽  
X. Yue ◽  
Y. Zhao

Short temporal baseline and multiple ground deformation information can be derived from the airborne differential synthetic aperture radar Interforemetry (D-InSAR). However, affected by the turbulence of the air, the aircraft would deviate from the designed flight path with high frequent vibrations and changes both in the flight trajectory and attitude. Restricted by the accuracy of the position and orientation system (POS), these high frequent deviations can not be accurately reported, which would pose great challenges in motion compensation and interferometric process. Thus, these challenges constrain its wider applications. The objective of this paper is to investigate the accurate estimation and compensation of the residual motion errors in the airborne SAR imagery and time-varying baseline errors between the diffirent data acquirations, furthermore, to explore the integration data processing theory for the airborne D-InSAR system, and thus help to accomplish the correct derivation of the ground deformation by using the airborne D-InSAR measurements.


2019 ◽  
Vol 16 (1) ◽  
pp. 65-69 ◽  
Author(s):  
Huiqiang Wang ◽  
Jianjun Zhu ◽  
Haiqiang Fu ◽  
Guangcai Feng ◽  
Changcheng Wang

2013 ◽  
Vol 684 ◽  
pp. 414-419
Author(s):  
Yang Gao ◽  
Jin Song Du ◽  
Yi Yang Liu ◽  
Xin Bi

Deviation from definitive flight path of a plane fixed a synthetic aperture radar (SAR) leads to inaccurate and defocused radar images, which has serious effect on the SAR interferometry (InSAR) processing. Therefore, the precise motion compensation (MOCO) for the airborne SAR interferometric data is the key to obtain high quality digital elevation model (DEM).The position and orientation system (POS)-based residual motion error compensation method is designed. Considering the precision of POS, there will be residual motion error after the POS-based MOCO, which have serious effect on the interferometric phase, especially the residual baseline errors. To solve the above problem, this paper proposed an enhanced multi-squint processing based model to estimate the residual baseline errors. This method can decrease the influence of data decorrelation and baseline error varying with range, and dramatically improve the measuring accuracy of InSAR.


Author(s):  
Duk-jin Kim ◽  
Jungkyo Jung ◽  
Changhyun Choi ◽  
Ki-mook Kang ◽  
Seung Hee Kim ◽  
...  

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