Pattern recognition with parallel associative memoryAn examination is conducted of the feasibility of searching targets in aerial photographs by means of a parallel associative memory (PAM) that is based on the nearest-neighbor algorithm; the Hamming distance is used as a measure of closeness, in order to discriminate patterns. Attention has been given to targets typically used for ground-control points. The method developed sorts out approximate target positions where precise localizations are needed, in the course of the data-acquisition process. The majority of control points in different images were correctly identified.
Toth, Charles K. (NASA Headquarters Washington, DC United States)
Schenk, Toni (Ohio State University Columbus, United States)