SBIR/STTR Research Award
Fusion And Registration System using Innovative Technology Extension (FARSITE)
Award amount
$99,958Program and phase
SBIR · Phase IAward year
2005Award details
- Awarding agency
- Department of Defense
- Branch
- Air Force
- Recipient company
- HIRSCH ENGINEERING & COMMUNICATIONS, INC
- Proposal award date
- 2005-04-14
- Contract end date
- 2006-01-14
- UEI
- Not reported
- Solicitation number
- 2005.1
- Topic code
- AF05-092
Research abstract
Hirsch Engineering and Communications, Inc. (HEC) and CACI-MTL Systems propose a unique and commercially-viable solution to the problem of multi-modality image registration and object/target detection for locating HDBTs. Our proposed "Fusion And Registration System using Innovative Technology Extension" (FARSITE) approach will synergistically integrate several methods, including (1) a demonstrated, revolutionary image registration and object/target detection technique called TWIST* (TWo-axis Image Sorting Technique), (2) innovative complexity-domain processing methods, and (3) digital filtering and metric combining. FARSITE captures image complexity information from a images, into a concise feature set, to provide a reliable, accurate, robust method to register images or to detect objects and targets, in multi-modality (EO, IR, SAR, etc.) digital imagery, and associated training aids. Multi-modality fusion is also a feature of this process, and will provide higher-order target or object detection with improved speed and accuracy performance. In Phase I, HEC will perform (1) a prototype development, (2) experimental and analytical feasibility assessments using actual, multi-modality images, (3) a prototype demonstration, (4) a preliminary system design to carry forward into Phase II, and (5) an initial assessment of commercialization potential.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Hardened or Deeply-Buried Target (HDBT) Optimization Techniques for Detecting Obscure Geomorphic States (HOTDOGS)
- Hardened or Deeply-Buried Target (HDBT) Optimization Techniques for Detecting Obscure Geomorphic States (HOTDOGS)