Accession Number : ADA294854
Title : Application of Wavelets to Automatic Target Recognition.
Descriptive Note : Final rept. 27 Sep 91-1 Mar 95,
Corporate Author : MARTIN MARIETTA TECHNOLOGIES INC ORLANDO FL
Personal Author(s) : Stirman, Charles
PDF Url : ADA294854
Report Date : 01 MAR 1995
Pagination or Media Count : 96
Abstract : 'Application of Wavelets to Automatic Target Recognition,' is the second phase of multiphase project to insert compactly supported wavelets into an existing or near-term Department of Defense system such as the Longbow fire control radar for the Apache Attack Helicopter. In this contract, we have concentrated mainly on the classifier function. During the first phase of the program ('Application of Wavelets to Radar Data Processing'), the feasibility of using wavelets to process high range resolution profile (HRRP) amplitude returns from a wide bandwidth radar system was demonstrated. This phase obtained fully polarized wide bandwidth radar HRRP amplitude returns and processed, them with wavelet and wavelet packet or (best basis) transforms. Then, by mathematically defined nonlinear feature selection, we showed that significant improvements in the probability of correct classification are possible, up to 14 percentage points maximum (4 percentage points average) improvement when compared to the current classifier performance. In addition, We addressed the feasibility of using wavelet packets' best basis to address target registration, man made object rejection, clutter discriminations, and sythetic aperture radar scene speckle removal and object registration.
Descriptors : *SIGNAL PROCESSING, *TARGET RECOGNITION, *RADAR SIGNALS, *FIRE CONTROL RADAR, ALGORITHMS, ATTACK HELICOPTERS, DATA PROCESSING, POLARIZATION, DEFENSE SYSTEMS, TARGET ACQUISITION, RESOLUTION, NONLINEAR SYSTEMS, BROADBAND, AUTOMATIC, REJECTION.
Subject Categories : Acoustics
Distribution Statement : APPROVED FOR PUBLIC RELEASE