Visualization Techniques for Multi- and Hyperspectral Imagery Exploitation

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-05-C-0228
Agency Tracking Number: N051-018-1590
Amount: $149,957.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: N05-018
Solicitation Number: 2005.1
Small Business Information
P.O. Box 9499, San Diego, CA, 92169
DUNS: 103075867
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Edwin Winter
 Research Director
 (858) 539-0912
Business Contact
 Donna Winter
Title: President
Phone: (858) 539-0912
Research Institution
Hyperspectral and multi-spectral sensors are assuming a greater role in all aspects of military surveillance and intelligence. While many excellent packages exist for analyzing this data, there has been minimal progress made towards the development of techniques that focus on supporting/aiding the hyperspectral imagery analyst in procedures for semi-automatic extraction of targets. Imagery analyst often rely on scene context to aid in identification of targets, and the identification of scene elements such as road surface, vegetation, building materials, etc. is not a part of target detection software. There is a major divide between scene classification techniques that are developed for terrain classification and target detection algorithms that are often developed for real-time sensors. We propose to develop a software environment that will provide both advanced target detection capability as well as the ability to use scene classification to determine the context of the target.

* Information listed above is at the time of submission. *

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