A Novel Approach to EO, IR, SAR, and Hyperspectral Sensor Fusion

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8718-05-C-0057
Agency Tracking Number: F051-207-1169
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-207
Solicitation Number: 2005.1
Small Business Information
15400 Calhoun Drive, Suite 400, Rockville, MD, 20855
DUNS: 161911532
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Chiman Kwan
 Director of Research and Design
 (301) 294-5238
Business Contact
 Mark James
Title: Contracts and Proposals Manager
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
Target detection and classification is challenging because target detection and classification cannot be effectively carried out by pure visual inspection and must rely on some automatic algorithms. Intelligent Automation, Inc. (IAI) and its subcontractor, Prof. C. Chang of the University of Maryland at Baltimore County (UMBC), propose a new hybrid framework for target detection and classification using airborne images from two perspectives: spatial and spectral. The spatial approach focuses on texture analysis. The idea is motivated by the fact that the image texture will be disturbed if targets are present. This approach is applicable to EO, IR, hyperspectral, and SAR images. The spectral approach and has two steps. First, a new automatic target generation process (ATGP) is used to generate a set of potential targets from the image data in an unsupervised fashion without using any prior knowledge. Second, an Automatic Target Detection and Classification Algorithm (ATDCA) is used to identify the potential targets. The algorithm can be used to detect anomalies (new and unknown targets) in blind environments. The algorithm is suitable for surveillance operations where the objective is to detect the presence of any potential targets.

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

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government