Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 109-112, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1/109/2014/
doi:10.5194/isprsarchives-XL-1-109-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
07 Nov 2014
Integrated Data Processing Methodology for Airborne Repeat-pass Differential SAR Interferometry
C. Dou1,2,3, H. Guo3, C. Han3, X. Yue3, and Y. Zhao3 1Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
Keywords: Airborne InSAR, residual error, time-varying baseline, ground deformation Abstract. 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.
Conference paper (PDF, 322 KB)


Citation: Dou, C., Guo, H., Han, C., Yue, X., and Zhao, Y.: Integrated Data Processing Methodology for Airborne Repeat-pass Differential SAR Interferometry, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 109-112, doi:10.5194/isprsarchives-XL-1-109-2014, 2014.

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