SBIR-STTR Award

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