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Knowledge-Based Airborne Hybrid System for Sparse Minefield Detection

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
97594
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
A092-078-1391
Solicitation Year:
N/A
Solicitation Topic Code:
Army 09-078
Solicitation Number:
N/A
Small Business Information
Migma Systems Inc.
1600 Providence Highway Walpole, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: Knowledge-Based Airborne Hybrid System for Sparse Minefield Detection
Agency / Branch: DOD / ARMY
Contract: W15P7T-10-C-S408
Award Amount: $69,992.00
 

Abstract:

Landmines come in a variety of shapes and sizes. They can be square, round, cylindrical, or bar-shaped. The casing can be metal, plastic, or wood. Traditional techniques to detect landmines are both dangerous and time consuming. Airborne-based landmine detection system often uses high resolution optical sensors for the target detection. They use various image processing techniques that fall in two broad categories f?" signature-based and anomaly detections. Since landmines appeared in airborne IR images often donf?Tt show stable signatures, signature-based approach is less robust. Anomaly detection usually generates many false alarms, making the system practically less useful. To overcome these challenges, in Phase I, we propose to develop a suite of anomaly detectors and false alarm mitigators for the target detections. We combine these detections in a minefield composite image to form a sparse minefield. Degree of randomness algorithms will be developed to detect the minefield. To further improve the system performance, we propose to design a knowledge base using mixture ontology. This knowledge base is capable of reasoning and can automatically select parameters and their settings based on the operating conditions and target types. External data sources can also be incorporated into this knowledge base.

Principal Investigator:

Bo Ling
President & CEo
5086600328
bling@migmasys.com

Business Contact:

Bo Ling
President & CEO
5086600328
dsmetana@irvine-sensors.com
Small Business Information at Submission:

Migma Systems, Inc.
1600 Providence Highway Walpole, MA 02081

EIN/Tax ID: 460488542
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No