New end-to-end SAR ATR system

Quoc H. Pham, Albert Ezekiel, Michael T. Campbell, Mark J.T. Smith

Research output: Contribution to journalConference articlepeer-review


In this paper, we introduce an efficient end-to-end system for SAR automatic target recognition, giving particular emphasis to the discrimination and classification stages. The target discrimination method, which we present here, is based on the features extracted from the Radon transform. It is used to estimate length and width of the target for discriminating the object as target or clutter. Like the army research laboratory (ARL) and MIT Lincoln Laboratory (MIT/LL) approaches, our classification stage performs gray scale correlation on full resolution sub-image chips. The pattern matching references are constructed by averaging five consecutive spotlight mode images of targets collected at 1-degree azimuth increments. Morphology operations and feature clustering are used to produce accurate image segmentation. The target aspect is estimated to reduce the pose hypothesis search space. Our efficient end-to-end system has been tested using the public target MSTAR database. The system produces high discrimination and classification probabilities with relatively low false alarm rate.

Original languageEnglish (US)
Pages (from-to)292-301
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 Algorithms for Synthetic Aperture Radar Imagery VI - Orlando, FL, USA
Duration: Apr 5 1999Apr 9 1999

ASJC Scopus subject areas

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


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