Airborne Detection of Disturbed Soil Using Electro-Optic (EO), Hyperspectral, Infrared (IR), and Synthetic Aperture Radar (SAR) Sensors

Award Information
Agency:
Department of Defense
Amount:
$69,992.00
Program:
SBIR
Contract:
N68335-03-C-0035
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Navy
Award Year:
2002
Phase:
Phase I
Agency Tracking Number:
N022-0022
Solicitation Topic Code:
N/A
Small Business Information
Hyperspectives, Remote Environ Measurement Serv
910 Technology Blvd. Suite A, P. O. Box 1563, Bozeman, MT, 59771
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
049451706
Principal Investigator
 Andrew Marcus
 Director Science
 (541) 302-1687
 marcus@oregon.uoregon.edu
Business Contact
 Ron Cooper
Title: President
Phone: (406) 556-9880
Email: roncooper@hyperspectives.net
Research Institution
N/A
Abstract
"Recent advances in remote sensing technologies through the availability of more sensitive instruments, and improvements in geo-location technologies and analysis software have resulted in significant strides in the successful application of high resolutionremote sensing to feature identification such as soil disturbances. These strides have been achieved by field-oriented remote sensing experts, including researchers from HyPerspectives, who have demonstrated the capability to (1) precisely identify smalldiscrete landscape features over large spatial areas and (2) detect changes in those features, both necessary requirements for accurate and precise soil disturbance detection. Hyperspectral sensors excel in discriminating subtle changes in landscapeconditions. The second active technology is synthetic aperture radar (SAR) capable of measuring return rates from a host of different wavelengths. The weaknesses of SAR data are the strengths of hyperspectral imagery and analysis. Using enhancedhigh-resolution spectral analysis, and innovative spatial analysis; the two technologies can be combined to precisely discriminate small area landscape disturbances. The proposed project recognizes the complimentary strengths of hyperspectral and SARimagery. The project identifies, tests fusion algorithms and demonstrates a new set of tools to more precisely identify soil disturbances at the pixel and sub-pixel level. The commercial use of hi

* information listed above is at the time of submission.

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