VIGILANTE: An advanced sensing/processing testbed for ATR applications

Suraphol Udomkesmalee*, Anilkumar P. Thakoor, Curtis W. Padgett, Taher Daud, Wai-Chi  Fang, Steven C. Suddarth

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

VIGILANTE consists of two major components: (1) the viewing image/gimballed instrumentation laboratory (VIGIL) - advanced infrared, visible, and ultraviolet sensors with appropriate optics and camera electronics; (2) the analog neural three- dimensional processing experiment (ANTE) - a massively parallel, neural network-based, high-speed processor. The powerful combination of VIGIL and ANTE will provide real-time target recognition/tracking capability suitable for ballistic missile defense organization (BMDO) applications as well as a host of other civil and military uses. In this paper, we describe VIGILANTE and its application to typical automatic target recognition (ATR) applications (e.g., aircraft/missile detection, classification, and tracking), this includes a discussion of the VIGILANTE architecture with its unusual blend of experimental 3D electronic circuitry, custom design and commercial parallel processing components, as well as VIGILANTE's ability to handle a wide variety of algorithms which make extensive use of convolutions and neural networks. Our paper also presents examples and numerical results.

Original languageEnglish
Pages (from-to)82-93
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3069
DOIs
StatePublished - 1 Dec 1997
EventAutomatic Target Recognition VII - Orlando, FL, United States
Duration: 22 Apr 199722 Apr 1997

Keywords

  • Automatic target recognition
  • Multispectral sensors
  • Neural processor
  • System architecture

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