Accession Number : AD0813395

Title :   DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES.

Descriptive Note : Final rept. Jan-Dec 66,

Corporate Author : NORTH AMERICAN AVIATION INC ANAHEIM CA AUTONETICS DIV

Personal Author(s) : Hughes, G. F. ; Lebo, J. A.

Report Date : MAR 1967

Pagination or Media Count : 160

Abstract : Final results are presented from a mathematical study to improve the overall performance of pattern recognition devices, such as for reconnaissance photograph interpretation. The specific results of this study are: (1) the design of practical pattern recognition systems requires mathematical procedures to account for statistical interdependencies and redundancy. (2) Inadequate experimental data sets are a common situation in practice and quantitative error formulas from sampling theory should be employed to assess and monitor the inadequacy. (3) A data reduction and combining technique was developed and tested, which accounts for the redundancy and data inadequacy. (4) A method of evaluating competing recognizer designs was developed from statistical sampling theory.

Descriptors :   (*PATTERN RECOGNITION, MATHEMATICAL ANALYSIS), PHOTOINTERPRETATION, ERRORS, SAMPLING, EQUATIONS, COMPUTER PROGRAMS, DIGITAL COMPUTERS, EXPERIMENTAL DATA, SET THEORY, DATA PROCESSING, FUNCTIONAL ANALYSIS, MATHEMATICAL MODELS, PROBABILITY.

Subject Categories : Military Intelligence

Distribution Statement : APPROVED FOR PUBLIC RELEASE