Coherent Change Detection for Multi-Polarization SAR

Author

Novak, Leslie M.

Author_Institution

BAE Syst., Burlington, MA

fYear

2005

fDate

Oct. 28 2005-Nov. 1 2005

Firstpage

568

Lastpage

573

Abstract

This paper presents a solution to the coherent change detection (CCD) problem using multi-polarization synthetic aperture radar (SAR) imagery. The multi-polarization SAR imagery (i.e., the day-1 reference and day-2 test images) are modeled as jointly correlated complex Gaussian vectors with unknown correlation, rho = gammae^jPhi. Maximum likelihood estimates of the unknown phase and coherence parameters (Phi,gamma) are derived. Accuracy of the MLE estimates is evaluated; and the benefit of using multi-polarization data versus single-polarization data is quantified

Keywords

Gaussian processes; electromagnetic wave polarisation; maximum likelihood estimation; radar imaging; synthetic aperture radar; SAR imagery; coherent change detection; complex Gaussian vectors; maximum likelihood estimates; multipolarization SAR; synthetic aperture radar; Charge coupled devices; Covariance matrix; Maximum likelihood detection; Maximum likelihood estimation; Phase estimation; Phase measurement; Pixel; Q measurement; Radar detection; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

1-4244-0131-3

Type

conf

DOI

10.1109/ACSSC.2005.1599813

Filename

1599813