Moving and stationary target acquisition and recognition (MSTAR) model-based automatic target recognition: Search technology for a robust ATR

Joseph Diemunsch, John Wissinger

Research output: Contribution to journalConference article

46 Scopus citations

Abstract

DARFA/Air Force Research Laboratory Moving and Stationary Target Acquisition and Recognition (MSTAR) program is developing state-of-the-art model based vision approach to Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). The model-based approach requires using off-line developed target models hi an on-line hypothesize-and-test manner to compare predicted target signatures with image data and output target reports. Central to this model-based ATR is the PEMS (Predict-Extract-Match-Search) subsystem. The Search module is critical to PEMS by providing intelligent control to traverse the hypothesis feature space. A major MSTAR goal is to demonstrate robust ATR for variations in targets including partially hidden targets. This paper will provide an update on the technology being developed under MSTAR and the status of this model based ATR research, specifically concentrating on the Search Module.

Original languageEnglish (US)
Pages (from-to)481-492
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3370
DOIs
StatePublished - Dec 1 1998
EventAlgorithms for Synthetic Aperture Radar Imagery V - Orlando, FL, United States
Duration: Apr 14 1998Apr 17 1998

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Moving and stationary target acquisition and recognition (MSTAR) model-based automatic target recognition: Search technology for a robust ATR'. Together they form a unique fingerprint.

  • Cite this