Title :
Digital Elevation Model Reconstruction in Multichannel Spaceborne/Stationary SAR Interferometry
Author :
Yun Feng Shao ; Wang, Ruiqi ; Yun Kai Deng ; Yue Liu ; Runpu Chen ; Gang Liu ; Balz, Timo ; Loffeld, Otmar
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
In this letter, we propose an approach for multichannel spaceborne/stationary synthetic aperture radar (SAR) interferometry based on maximum a posteriori (MAP). Spaceborne/stationary SAR is a typical bistatic SAR configuration. In order to solve the phase disconnection problem while working with a low signal-to-noise ratio and a limited number of baselines as well as having large look angle variations, we use the height estimation results derived from iterative multibaseline unwrapping as the initial heights for the MAP estimation. The method presented here is highly experimental. An experiment is carried out to verify the effectiveness of the proposed approach. In this experiment, TerraSAR-X, working in the high-resolution spotlight mode with a 300-MHz bandwidth, acts as the transmitter. The receivers with three echo channels are placed on the ground to receive the reflected waveform. As proof of concept, we demonstrate the height estimation of several buildings.
Keywords :
digital elevation models; estimation theory; iterative methods; maximum likelihood estimation; radar interferometry; radar receivers; radar resolution; radar transmitters; spaceborne radar; synthetic aperture radar; MAP estimation; TerraSAR-X; bandwidth 300 MHz; bistatic SAR configuration; building; digital elevation model reconstruction; echo channel; height estimation; high-resolution spotlight mode; iterative multibaseline unwrapping; look angle variation; maximum a posteriori estimation; multichannel spaceborne-stationary SAR interferometry; phase disconnection problem; receiver; signal-to-noise ratio; synthetic aperture radar; transmitter; Buildings; Estimation; Interferometry; Receivers; Remote sensing; Spaceborne radar; Synthetic aperture radar; BiSAR; height estimation; multichannel Bi-InSAR;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2319177