Abstract

The phase-gradient algorithm represents a powerful new signal-processing technique with applications to aperture-synthesis imaging. These include, for example, synthetic-aperture-radar phase correction and stellar-image reconstruction. The algorithm combines redundant information present in the data to arrive at an estimate of the phase derivative. We show that the estimator is in fact a linear, minimum-variance estimator of the phase derivative.

© 1989 Optical Society of America

Two-dimensional phase correction of synthetic-aperture-radar imagery

Dennis C. Ghiglia and Gary A. Mastin
Opt. Lett. 14(20) 1104-1106 (1989)

Speckle processing method for synthetic-aperture-radar phase correction

P. H. Eichel, D. C. Ghiglia, and C. V. Jakowatz
Opt. Lett. 14(1) 1-3 (1989)

Statistical properties of the photon-address, phase-gradient algorithm

R. Johnson and G. J. M. Aitken
J. Opt. Soc. Am. A 6(1) 56-61 (1989)

Direct phase estimation from phase differences using fast elliptic partial differential equation solvers

Dennis C. Ghiglia and Louis A. Romero
Opt. Lett. 14(20) 1107-1109 (1989)

Phase derivative estimation from a single interferogram using a Kalman smoothing algorithm

Rishikesh Kulkarni and Pramod Rastogi
Opt. Lett. 40(16) 3794-3797 (2015)