Modeling and Simulation of Single-Look Complex Images for Distributed Satelliteborne Interferometric Synthetic Aperture Radar

The significance of modeling and simulating the single- look complex (SLC) images for the Distributed Satelliteborne Interferometric Synthetic Aperture Radar (DS-InSAR) system is addressed. Moreover, the simulation modeling for the DS-InSAR SLC images is presented in details, including the geometric model and the radar signal model. Furthermore, an implementation method for DS-InSAR SLC images simulation is proposed, which has the advantage of lower computation loads and higher efficiency compared with the traditional simulation methods. The intensity images and phase interferograms can consequently be generated from the simulated SLC SAR images. Computer simulation results are numerously presented, with the simple conic scenario and the digital elevation model (DEM) of natural terrain. It is straight forward that the simulation results demonstrate the effectiveness of the modeling and simulation method presented in this paper.

[1]  Yici Cai,et al.  A buffer planning algorithm for chip-level floorplanning , 2007, Science in China Series F: Information Sciences.

[2]  Zhou Yinqing,et al.  Quick method of distributed small satellite synthetic aperture radar single-look complex image simulation , 2006 .

[3]  Wei Xu,et al.  Simulator for repeat-pass satellite InSAR studies , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.

[4]  Li Jingwen,et al.  Fast simulation of complex image for interferometric SAR , 2005 .

[5]  Jie Chen,et al.  Formation flying orbit design for the distributed synthetic aperture radar satellite , 2007, Science in China Series F: Information Sciences.

[6]  S. Hensley,et al.  SRTM-Mission - cross comparison of X and C band data properties , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[7]  F. Ulaby,et al.  Handbook of radar scattering statistics for terrain , 1989 .