Target Recognition Using Multiple Discriminants from an Infrared Seeker.
Abstract
It has been suggested that a laser designator could be adapted to measure certain characteristics of the object being designated and that these measurements could be a useful aid in target recognition and/or identification. Characteristics that could be measured include size, motion (speed), vibration, and quantities relating to the target surface such as reflectance, depolarization, etc. Unfortunately, it appears unlikely that any single target characteristic will be sufficiently unique to provide an unequivocal identification. In this report, consideration is given to statistical methods for combining several target characteristics to enhance the identification capability. The technique studied involves using multivariate statistical analysis to construct a linear or quadratic discriminant function on the various measured quantities. It is shown that using this approach, an automatic target recognition feature could be implemented at very small additional cost. The final section of this report details the experimental data needed to assess completely the feasibility of the proposed identification aid and recommends an experimental program for collecting these data. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 24, 1977
- Accession Number
- ADA045223
Entities
People
- William E. Webb