The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Download
Citation
Articles | Volume XL-1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 109–112, 2014
https://doi.org/10.5194/isprsarchives-XL-1-109-2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 109–112, 2014
https://doi.org/10.5194/isprsarchives-XL-1-109-2014

  07 Nov 2014

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 C. Dou et al.
  • 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.