A Dual Channel Infrared Scanner for Atmospheric Imaging Studies at 10.6 Microns

Abstract

A dual channel infrared scanning, display, and recording system originally developed for experiments in atmospheric imaging and image restoration at 10.6 microns has been modified for use with extended targets. Two image formats are now available, one providing two spatially separable images having 40 x 40 element resolution at 200 frames per second and the other, two images having 64 x 64 element resolution at 60 frames per second which may be joined, if desired, to scan a single rectangular image. Visual CRT displays of the infrared images are provided and magnetic tape recordings are made which may be played back later at recording speed or at reduced speed for viewing and to provide computer input for data analysis. This report describes in detail the modifications made to the scanning, display, and recording system and, together with the original report published previously, provides complete documentation for the system. A separate playback, display, and computer interface system, compatible with the scanner system, to be used for image restoration processing has also been developed. Both systems are to be delivered to RADC for infrared imaging and image restoration studies.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1975
Accession Number
ADA018788

Entities

People

  • Edward K. Damon
  • William G. Swarner

Organizations

  • Ohio State University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Circuit Boards
  • Converters
  • Data Storage Systems
  • Digital Data
  • Image Restoration
  • Infrared Detectors
  • Logic
  • Logic Gates
  • Magnetic Tape
  • Nand Gates
  • Power Supplies
  • Recording Systems
  • Schematic Diagrams
  • Tape Recording
  • Time Intervals
  • Two Dimensional
  • Wiring Diagrams

Fields of Study

  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Image Processing and Computer Vision.