title: A cognitive heuristic algorithm for reseau mark detection by hill climbing.
abstract: A hill-climbing approach for the automatic detection of Reseau marks (RM) on the vidicon type of imagery is presented. This procedure is based on the minimization of a figure of merit which is a measure of the clustering nature of the gray values of the Reseau pixels around a nominal value. The often-encountered problem of false detection is circumvented by incorporating the concept of ``learning'' the mean gray value of the RM pixels. Results of applying the algorithm to both synthetic and actual imagery demonstrate the efficacy of the proposed method.
authors.affiliation: ISRO Satellite Center, Mission Operating and Planning Division, Peenya Industrial Estate, Peenya, Bangalore-560-058, India.
authors.forename: B V
authors.initials: BV
authors.lastname: Sheela