SBIR/STTR Research Award

GLASS BASED BIOCHIP AND OPTICAL DETECTOR

Award identifier 0abe12b26a4166176090fb5c42f9caba472685ee95eb0c0e1d67a8f5ee76ddb4Awarding agency Department of Health and Human Services

Award amount

$161,120

Program and phase

SBIR · Phase I

Award year

1999

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
Not reported
Recipient company
New Dimension Research
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Not Available Day/night reconnaissance and surveillance are critical for military operations. Conventional airborne and ground sensor systems, use spatial information to detect and recognize targets. However, current automatic target detection techniques cannot readily find camouflaged or hidden targets. Furthermore, active Doppler detection cannot handle targets with zero or near-zero velocity. Multispectral and hyperspectral sensors can enhance target detection and recognition by increasing probability of detection and lowering false alarm rates for low signature moving targets. Physical Optics Corporation (POC) proposes to develop an innovative multispectral moving target detection (M~D) system, which applies both spectral and spatial detection filters, and performs spatial-spectral data fusion, multispectral, hyperspectral, and spatial detection, and correlates movement measurement to precisely detect and locate targets. The goal of this Phase I project is to optimally combine results from spatially based detection with high-resolution fast spectral imaging and spectral-based discrimination techniques. The proposed spatial-spectral detection will combine POC's multi-sensor data fusion, correlation target tracking, and efficient linear and nonlinear spatial filtering for clutter reduction, detection, identification, and tracking of military targets. Phase I will identify and develop a system concept, and will select moving target detection and clutter reduction algorithms for ap

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.