SAR image construction from gapped phase-history data

Author

Larsson, Erik G. ; Stoica, Petre ; Li, Jian

Author_Institution

Dept. of Syst. & Control, Uppsala Univ., Sweden

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

608

Abstract

We propose a method for estimating the amplitude spectrum of a 2D-signal from frequency domain (or phase history) data that contain gaps. This is a key problem in synthetic aperture radar (SAR) imaging with angular diversity. Our method is an extension of the well-known amplitude and phase estimation (APES) algorithm to the incomplete data case, and is called gapped-data APES (GAPES). It has recently been shown that APES minimizes a certain least-squares (LS) criterion, and our extension of APES is based on minimizing this criterion with respect to the missing data as well. We provide an example of the algorithm applied to SAR imaging from phase history data with angular diversity; and we also show the advantages of 2D data processing over 1D (row or column-wise) data processing that are enabled by our new algorithm

Keywords

amplitude estimation; image reconstruction; interpolation; least squares approximations; minimisation; multidimensional signal processing; phase estimation; radar imaging; synthetic aperture radar; 2D data interpolation; 2D-signal; SAR image construction; amplitude estimation; amplitude spectrum; angular diversity; frequency domain data; gapped phase-history data; least-squares criterion; phase estimation; synthetic aperture radar imaging; Amplitude estimation; Control systems; Data processing; Finite impulse response filter; Frequency domain analysis; Frequency estimation; History; Noise level; Phase estimation; Radar polarimetry;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.958192

Filename

958192