Abstract:

Phase unwrapping is one of the key data processing procedures for interferometric Synthetic Aperture Radar (InSAR), which can directly affect the final precision of the digital elevation model. A phase unwrapping method based on Stochastic Parallel Gradient Descent (SGPD) algorithm is proposed in the paper, which imposes the stochastic parallel perturbation on every point of the phase images and achieves the phase unwrapping through iteration by which the error cost function is converged to its global extremum. Experimental results of simulated and real data indicate that the SPGDbased phase unwrapping method is more precise, simple and easy to realize, and provides a total new solution to phase unwrapping.

Key words: phase unwrapping;interferometric synthetic aperture radar;stochastic parallel gradient descent;least square