Patent ID: 6278799
Filing Date: 2001-08-21
Classification: G01S,G06K,Y02A

Abstract:
A method of processing plural object data matrices to identify characteristic features therein, said method comprising:A producing a trained self organizing feature space mapping by:i) providing a set of training data matrices containing the characteristic features to be identified;ii) fragmenting each of the training data matrices into plural elements; andiii) processing each element of each training data matrix with a single self organizing network to produce a single trained self organizing feature space mapping (SOFM); andB identifying the characteristic features in each of the object data matrices by:iv) fragmenting one of the object data matrices into plural object matrix elements;v) processing the object matrix elements with the single SOFM to produce a feature characterization of the object data matrix;vi) processing the feature characterization to produce a density characterization of characteristic features in the object data matrix; andvii) repeating steps iv), v) and vi) for each of the object data matrices.