Analysis of Collected Semi Active Laser (SAL) Images

Abstract

This paper discusses the use of EO imagery as a means to detect a SAL signal in a natural cluttered background. The paper discusses the method by which one can detect and extrapolate the SAL signal from clutter by subtracting two images where the requirement is that one of the two images contains the SAL signal, but not both. The images were collected at the U.S. Army Combat Capabilities Development Command Armaments Center, Picatinny Arsenal, NJ, using an E2V complementary metal-oxide-semiconductor (CMOS) camera at different integration times using various bandpass and highpass filters. For this report, the ability to discriminate a SAL signal from natural clutter background for images collected with an integration time of 25 s for the highpass filter and integration times of 0.3 and 5 ms for the bandpass filter is examined. Sensitivity analysis are presented in this study using PDF curves that clearly demonstrate the ability to detect SAL signals from the natural cluttered scene. An assessment between highpass and bandpass filters with the respective different integration times as well as a description of the pros and cons for each filter can be also found in the report.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2020
Accession Number
AD1107422

Entities

People

  • Joao M. Romano
  • Luz F. Manduca
  • Zaw T. Han

Organizations

  • Picatinny Arsenal

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Bandpass Filters
  • Complementary Metal-Oxide Semiconductors
  • Data Analysis
  • Detection
  • Detectors
  • Electronics
  • False Alarms
  • Laser Seekers
  • Lasers
  • Light Sources
  • Metal Oxide Semiconductors
  • Metal Oxides
  • Munitions
  • Quantum Efficiency
  • Semiconductors
  • Standards
  • Warning Systems

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.

Technology Areas

  • Directed Energy
  • Microelectronics