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SVD-Based Detection of Internal Waves in SAR Irmgery

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
18633
Program Year/Program:
1992 / SBIR
Agency Tracking Number:
18633
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Adaptive Software, Inc.
101 Woodmun Drive, Suite 15-a Dayton, OH 45431
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1992
Title: SVD-Based Detection of Internal Waves in SAR Irmgery
Agency / Branch: DOD / NAVY
Contract: N/A
Award Amount: $49,475.00
 

Abstract:

Although satellite-based SAR is sensitive enough to pick up the modulation effects of internal waves, the signal-to-noise ratio (SNR) of th-Ls observable is believed to be to() low to afford detection of enemy sukuiarines . Adaptive Software prolses that with a new interpretation of singular value decomposition, the SNR can be improved enough to allow automated detection of sukfmrine paths. While most SVD-based analyses try to isolate one or rrore rarik^ne singular planes that contain the strongly-correlated sig^als of interest, the proposed approach is to remove those planes that can be shown to contain little or no information of interest. Rissanen's MDL rretric for model order determination will guide the removal of strong interference, while a derivative of Shannon's entropy metrics will guide the rernoval of uninformatLve noise planes. This preprocessing will allow a stochastic edge detector to find the path over which a sub mrine has altered the statistical character of the waves.

Principal Investigator:

Herbert B. Lichtman
5132535555

Business Contact:

Small Business Information at Submission:

Adaptive Software, Inc.
101 Woodmun Drive, Suite 15-a Dayton, OH 45431

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No