Reduction and Assessment of Infrared Background Data

Abstract

The outstanding problem in designing passive infrared detection sensors is the design of effective target/background discrimination algorithms. A key factor in the design process is the requirement for a data base of high spatial resolution, low noise, background imagery. The cloud and ocean sunglitter data discussed in this report, obtained by Cincinnati Electronics Co. (CECO), are intended to help satisfy this requirement for infrared (IR) background imagery. We recommend that future IR backgrounds measurements with the CECO radiometer incorporate the following suggestions: the CECO radiometer should be upgraded to incorporate DC restoration; data should be recorded from all 24 detector channels, rather than just 8 channels; tape recorder noise should be decreased by improving the data recording system.

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Document Details

Document Type
Technical Report
Publication Date
Aug 07, 1980
Accession Number
ADA088241

Entities

People

  • Frederick G. Smith
  • Richard A. Steinberg
  • Scott M. Singer
  • Timothy J. Rogne

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Computers
  • Data Reduction
  • Data Sets
  • Databases
  • Detection
  • Detectors
  • Digital Data
  • Electronics
  • Frequency
  • Instrumentation
  • Magnetic Tape
  • Measurement
  • Measuring Instruments
  • Recording Systems
  • Tape Recorders

Readers

  • Aerospace Test and Evaluation
  • Computer Vision.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Microelectronics