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A Cognitive Heuristic Algorithm for Reseau Mark Detection by Hill Climbing
June 1985 (vol. 7 no. 6)
pp. 743-747
B. V. Sheela, ISRO Satellite Center, Mission Operating and Planning Division, Peenya Industrial Estate, Peenya, Bangalore-560-058, India.
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.
Citation:
B. V. Sheela, "A Cognitive Heuristic Algorithm for Reseau Mark Detection by Hill Climbing," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 7, no. 6, pp. 743-747, June 1985, doi:10.1109/TPAMI.1985.4767735
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