Title :
Method for appraising radar image artifacts
Author_Institution :
Weapons Div., Naval Air Warfare Center, China Lake, CA
fDate :
1/1/2000 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
