High Speed Scene Signal Processor

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,955.00
Award Year:
1996
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
31925
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Neural Technology, Inc.
511 Westinghouse Rd., Pendleton, SC, 29670
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Gene A. Tagliarini, Ph.d.
(864) 646-4020
Business Contact:
() -
Research Institution:
n/a
Abstract
The proposed effort focuses upon exploring the potential of a combination of neural, wavelet, and fuzzy logic processing to yield significant performance improvements needed for future seeker scene processors. Seeker scene processors must rapidly process images to detect and classify objects such as tanks on the ground, aircraft in flight, or ships at sea. The problem of detecting and classifying targets in thermal and visual images is complicated by factors such as sensor deficiencies, clutter, target size variations due to range, target aspect angle variations, sun angle and weather conditions. Moreover, targets may be partially obscured by smoke, dust, camouflage or shadows. A seeker scene processor must deal with real-time situations having largely unknown backgrounds and weather conditions. A simulation study will identify neural, wavelet, and fuzzy logic processing algorithms that can contribute significantly to the speed and accuracy of scene processing functions. Parallel versions of such algorithms will be investigated and a preliminary architectural design of a seeker scene processor capable of exploiting potential parallelism will be completed.

* information listed above is at the time of submission.

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