Search algorithms for model-based SAR ATR

John W Wissinger, Robert B. Washburn, Noah S. Friedland, Anthony Nowicki, Douglas R. Morgan, Chee Chong, Robert Fung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

The Wright Laboratory/DARPA MSTAR program is developing an innovative model-based vision approach to SAR ATR. Central to that approach is the predict-extract-match-search) subsystem that implements a 'hypothesis and test' approach to target recognition. The search module directs the search through hypothesis space and seeks to minimize the computational effort of that search. This paper presents the key concepts and issues behind the design of the MSTAR search module.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsEdmund G. Zelnio, Robert J. Douglass
Pages279-293
Number of pages15
Volume2757
Publication statusPublished - 1996
Externally publishedYes
EventAlgorithms for Synthetic Aperture Radar Imagery III - Orlando, FL, USA
Duration: Apr 10 1996Apr 12 1996

Other

OtherAlgorithms for Synthetic Aperture Radar Imagery III
CityOrlando, FL, USA
Period4/10/964/12/96

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wissinger, J. W., Washburn, R. B., Friedland, N. S., Nowicki, A., Morgan, D. R., Chong, C., & Fung, R. (1996). Search algorithms for model-based SAR ATR. In E. G. Zelnio, & R. J. Douglass (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2757, pp. 279-293)