Method for appraising radar image artifacts

Author

Borden, B.

Author_Institution

Weapons Div., Naval Air Warfare Center, China Lake, CA

Volume

36

Issue

1

fYear

2000

fDate

1/1/2000 12:00:00 AM

Firstpage

320

Lastpage

327

Abstract

Expert systems are typically used to isolate radar image artifacts associated with dispersive and/or multiple target subscatterers. These subjective methods may overlook subtle image errors like intensity variations of (correctly positioned) image elements. A more objective approach-based on nonlinear Backus-Gilbert theory-shows how some of the traditional weaknesses might be avoided

Keywords

Gaussian noise; image resolution; image restoration; inverse problems; maximum likelihood estimation; nonlinear estimation; radar imaging; radar resolution; radar target recognition; white noise; Gaussian white noise; automatic target recognition; conditional probability density; correctly positioned image elements; image resolution; image restoration; intensity variations; inversion process; maximum likelihood scattering model; nonlinear Backus-Gilbert theory; nonlinear estimation; radar image artifacts; subtle image errors; target model; Additive noise; Appraisal; Dispersion; Error correction; Expert systems; Radar imaging; Radar scattering; Radar signal processing; Scattering parameters; Spaceborne radar;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.826338

Filename

826338