Three Dimensional Cellular Automata for Subpixel Target Detection

Abstract

This project on subpixel target detection relates to research in the optimization of three-dimensional computing structures for use in target detection and to research in the reduction of an optimum computing to an efficiently-designed silicon chip. During the work period reported this project continued with additional work on the mathematical optimization of planar structures for executing cellular logic transforms. Optimization was based on the criterion of maximizing pixops (picture point operations) per device. Whereas our initial work had been based on a system which extracted data from a constant window size in a 512x512 field, this new study addressed the subject of variable data window size and variable data window aspect ratio. It-was concluded that, for the planar processor, the total processing time for a 512x512 data field can be increased somewhat by enlarging the data window memory from 256 to 2048 bits, but beyond this little or nothing is gained and, in fact, a great deal is lost in terms of the extra silicon required.

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Document Details

Document Type
Technical Report
Publication Date
Feb 15, 1989
Accession Number
ADA207940

Entities

People

  • Kendall Preston Jr.

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Aspect Ratio
  • Automata
  • Classification
  • Contracts
  • Data Displays
  • Detection
  • Information Systems
  • Mathematical Programming
  • Military Research
  • Optimization
  • Planar Structures
  • Security
  • Signal Processing
  • Target Detection
  • Three Dimensional

Readers

  • Approximation Theory.
  • Computer Engineering
  • Vision Science/Vision Psychology/Cognitive Neuroscience.