Advanced Multiscale & Multiresolution Image Enhancement and

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N/A
Agency Tracking Number: 40194
Amount: $70,000.00
Phase: Phase I
Program: STTR
Awards Year: 1998
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Scientific Systems Company,
500 West Cummings Park, Ste., 300, Woburn, MA, 01801
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Joao B. D. Cabrera
 () -
Business Contact
 Raman K. Mehra
Phone: () -
Research Institution
 Yale University
 John J. Olender 
 Contracts & Grants, 155 Whitney Ave., PO
New Haven, CT, 06520
 Nonprofit college or university
The proposed STTR project (Phases I and II) will develop multiscale and multiresolution algorithms and software, as well as produce a simulation testbed for evaluating advanced techniques for image enhancement and classification using sensor data from multiple UAVs and UCAVs. For development and testing we will utilize multi-sensor data such as SAR, ISAR, IR, MMW, and Ladar, obtained from both simulation packages (eg. IRMA, XPATCH) and from real data (eg. the MSTAR dataset, ARL dataset, ONR Passive MWM dataset). During the course of the project, synergies between enhancement and classification methods will be identified, and the most promising techniques will be selected for in-depth testing and commercial development. Prof. Coifman from Yale Computational Mathematics group will provide an Algorithm Development Toolkit, including an extensive collection of state-of-the-art wavelet-based tools for enhancement and classification. Phase 1 effort will consist of the following specific tasks: 1. Selection of imaging data for algorithm development and testing; 2. Development of a toolkit consisting of multiresolution and multiscale algorithms for image enhancement and classification; 3. ATR performance evaluation and selection of ``winners'' (optimal pairs of image enhancers/classifiers); 4. Testing of the selected algorithm(s) using real and simulated datasets; 5. Development of an ATR component for the UCAV Simulation Testbed; 6. Final Report. 7. (Option) Functional integration of the ATR component into the UCAV Simulation Testbed.

* information listed above is at the time of submission.

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