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 language | English |
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Pages (from-to) | 82-93 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 3069 |
DOIs | |
State | Published - 1 Dec 1997 |
Event | Automatic Target Recognition VII - Orlando, FL, United States Duration: 22 Apr 1997 → 22 Apr 1997 |
Keywords
- Automatic target recognition
- Multispectral sensors
- Neural processor
- System architecture