Statistical Signal Processing for Remote Sensing of Targets: Proposal for Terrestrial Science Program
Abstract
The fundamental objectives of this work were to (1) develop new algorithms for both prescreening and discrimination to support the HMDS; (2) assess utility of information-theoretic approaches we have been developing under the MURI and under follow on ARO support for consideration by the various NVESD programs, particularly handheld systems; (3) develop algorithms for forward looking radar systems and assess their performance; (4) develop algorithms for emerging sensors, such as side aperture acoustic and laser induced breakdown spectroscopy (LIBS). In particular, for each system of interest we are carefully considering robustness issues, particularly with respect to terrain, speed, antenna motion, etc. We work closely with other groups supported on these efforts to insure both collaborative algorithm development (algorithm fusion) and technology transfer. In particular, code for several feature-based classification algorithms and a terrain tracking algorithm was transferred to Chemring, manufacturers of the HMDS system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 14, 2014
- Accession Number
- ADA614713
Entities
People
- Kenneth D. Morton
- Leslie M. Collins
- Peter A. Torrione
Organizations
- Duke University