Accession Number : AD0717219

Title :   Research on the Classification of Statistically and Graphically Defined Patterns.

Descriptive Note : Final rept.,

Corporate Author : BELL AEROSPACE CO BUFFALO N Y

Personal Author(s) : Gerhardt,Lester A. ; Drake,Kenneth W.

Report Date : 10 DEC 1970

Pagination or Media Count : 52

Abstract : Improved target detection and classification capability is the aim of the report. Two types of target clues or features are considered, spectral and spatial. The emphasis is placed on using automatic means for performing the detection with the classification being performed by a human operator. For the spectral clues, a statistical model was used to aid in the classification of spectral signatures. For the near IR and video region, a six dimensional space was sufficient for most problems. Results are given for a set of actual data covering seven different classes. Approaching the detection problem as a separate entity, optimized preprocessing spectral filters are developed. Binary filters which are proven to also be optimum are derived and an algorithm for finding them is given. (Author)

Descriptors :   (*PATTERN RECOGNITION, LEARNING MACHINES), (*TARGET RECOGNITION, SPECTRUM SIGNATURES), INFORMATION THEORY, AUTOMATA, LOGIC CIRCUITS, STOCHASTIC PROCESSES, INPUT OUTPUT DEVICES, SPECTRUM ANALYZERS, INFRARED RADIATION, STATISTICAL ANALYSIS, DECISION MAKING, GRAMMARS

Subject Categories : Computer Hardware
      Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE