Accession Number : ADA331507

Title :   Progress Report on the Project Automatic Target Recognition (N94-124) for Small Business Innovation Research. Phase II

Descriptive Note : Progress rept.

Corporate Author : AEGIR SYSTEMS INC OXNARD CA

PDF Url : ADA331507

Report Date : 24 OCT 1997

Pagination or Media Count : 52

Abstract : In this report, a real time optimal nonlinear filter is developed. This fast filter is based on two techniques: (1) splitting of the convection and diffusion operators, and (2) tracking of important windows. Presented is an explicit scheme using the forward characteristic equation and the fast Gauss transform. The domain of interest is determined adaptively. Subroutines of the software code are briefly described and numerical results for 3-D problems are given.

Descriptors :   *TARGET RECOGNITION, *KALMAN FILTERING, *FOKKER PLANCK EQUATIONS, COMPUTER PROGRAMS, ALGORITHMS, SOFTWARE ENGINEERING, IMAGE PROCESSING, STOCHASTIC PROCESSES, TARGET ACQUISITION, PARTIAL DIFFERENTIAL EQUATIONS, STATISTICAL PROCESSES, SUBROUTINES, MARKOV PROCESSES, UNDERWATER TARGETS.

Subject Categories : Computer Programming and Software
      Target Direction, Range and Position Finding

Distribution Statement : APPROVED FOR PUBLIC RELEASE