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3D Lidar Simulation Model for Development and Validation of Biological and Chemical Agent Detection and Identification Algorithms

Award Information
Agency: Department of Defense
Branch: Army
Contract: DAAD13-02-P-0071
Agency Tracking Number: 44319
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
99 South Bedford Street, Suite 7
Burlington, MA 01803
United States
DUNS: 047627732
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Steven Richtsmeier
 Principal Scientist
 (781) 273-4770
 scr@spectral.com
Business Contact
 Michael Gersh
Title: Vice President
Phone: (781) 273-4770
Email: gersh@spectral.com
Research Institution
N/A
Abstract

Not Available "There is a diversity of active and passive sensors and associated processing algorithms proposed and under development for remote detection of chemical and biological agents. It would be highly beneficial to have a consistent and accurate means forcomparing, evaluating, and projecting system and algorithm performance over the full range of anticipated operational conditions. For many practical reasons, including cost, time, and the release of hazardous materials, field measurements alone cannotfulfill this need. However, field measurements supplemented with scene/sensor simulations offer a robust solution to this problem. Spectral Sciences, Inc. in collaboration with the Los Alamos National Laboratory, proposes the development and validation ofa state-of-the-art physics-based scene/sensor simulation model targeted at active and passive sensors and algorithms for chemical and biological agent detection. The model will be an extension to an existing simulation package developed by SSI forhyperspectral and multispectral imaging sensors. It would be validated against existing field measurements to demonstrate its ability to realistically represent real world situations. This would enable reliable simulation-based extrapolation of limitedfield data to other environmental and background/clutter conditions, different biological and chemical agents, viewing platforms, and sensor wavelengths types. The commercial product will be a LIDAR scene simulation software package for use by researchersfor development of vapor/aerosol detection algorithms as well as by instrument designers."

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

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