Classification and Recognition Based on Compressive Spectral Imaging
Abstract
This research program addressed four sub-projects with the goal to develop infrared imaging devices and systems for navigation-based applications to assist US Army personnel. Compared to previous technology, these imaging devices and systems were designed to have smaller size,weight, power, and cost (lower SWAP-C), with improved visibility under dark and obscured viewing conditions such as through smoke and fog. To achieve these goals, our approach included comparing the performance of commercial cameras under different infrared wavelength regions, and evaluating infrared devices made from novel alloys of germanium with tin (GeSn), which have excellent optical properties, and are also compatible with silicon integrated circuit technology for low cost and light weight. The four sub-projects investigated here are: (a)Infrared (IR) detector arrays for computer-based imaging, and software methods to extract the positioning and tracking information; (b) Terahertz frequency devices for covert communication and see-through imaging; (c) Diamond-based resonators for accurate and robust timekeeping; and (d) Energy efficient transistors for ultra-low power circuits. The outcomes of this three-year program included the development and demonstration of prototype imaging methods for compact navigation systems that could operate on battery power. Several new components and methods were developed for evaluation by the Army (Dr. Gary Katulka and colleagues) during periodic visits and technical meetings. The funding level was $100,000 per year to support research personnel, to acquire needed materials and supplies, and for travel to technical meetings and relevant conferences.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 11, 2018
- Accession Number
- AD1069854
Entities
People
- Gonzalo R. Arce
Organizations
- University of Delaware