Accession Number : ADA335690

Title :   Advanced Automatic Target Recognition

Descriptive Note : Final rept. Jul 93-Jun 97

Corporate Author : MARYLAND UNIV COLLEGE PARK

Personal Author(s) : Rosenfeld, Azriel

PDF Url : ADA335690

Report Date : 05 SEP 1997

Pagination or Media Count : 9

Abstract : The grant supported research on techniques for recognizing targets in visible, infrared, laser radar, synthetic aperture radar and high-range aperture radar data. Empirical probability density functions of 'probe values' gives rise to a method of estimating probability that a target of known shape is present. Two-stage Constant False Alarm rate detectors were introduced to reduce the PA rate in the presence of SAR speckled images. A complete algorithm for wide-area site models using polarimetric SAR was developed. Multiscale methods were introduced into HRR classification with an improvement in performance. Operator-theoretic methods were successfully employed in the important area of detection and location of roads and nearby targets.

Descriptors :   *TARGET RECOGNITION, *SYNTHETIC APERTURE RADAR, *AUTOMATIC, ALGORITHMS, OPTICAL RADAR, PROBES, DETECTION, MODELS, SITES, PROBABILITY DENSITY FUNCTIONS, ROADS, VALUE, AREA COVERAGE.

Subject Categories : Active & Passive Radar Detection & Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE