Abstract
In this paper we consider the problem of detecting a target regardless of its orientation when it is known that the target must be from one of two classes. We assume significant random intraclass variability, a complication which requires techniques from statistical pattern recognition for amelioration. The Foley-Sammon transformation for selecting optimum features from random training samples is used to solve the problem.
© 1985 Optical Society of America
Full Article | PDF ArticleMore Like This
Ronald Wu and Henry Stark
Appl. Opt. 23(6) 838-840 (1984)
Takumi Minemoto and Junzo Narano
Appl. Opt. 24(18) 2914-2920 (1985)
Pascuala Garcia-Martinez, Carlos Ferreira, Javier Garcia, and Henri H. Arsenault
Appl. Opt. 39(5) 776-781 (2000)