Large Capacity Spatially Multiplexed Optical Memories for Incoherent Correlator Application.

Abstract

We have, in this research program, completed various significant aspects on the study of a Large Capacity Spatially Multiplexed Optical Correlator. They are summarized in the following paragraphs: We have quantitatively analyzed the noise performance of an incoherent optical signal processor. The effects due to temporal coherence and due to spatial coherence were studied. In this period, we have also completed research on a real-time large-capacity rapid-scanning optical correlator utilizing a rotating grating concept. We have shown that the proposed optical scanning correlator is capable of processing large-capacity optical memories with rapid spectrum scanning. With the implementation of a closed-circuit TV system the OSC system can be applied in real-world situations. A study of polychromatic correlation by spectral-spatial matched filtering has been conducted. Application of this technique to large capability spatially multiplexing matched filter synthesis is discussed. This technique offers true color signal detection, which is suitable for color image recognition and identification. We have also developed a joint transform correlation concept. This technique utilizes a magneto-optic device with a liquid crystal light valve. Object functions can be written into a magneto-optic device with a microcomputer, and real-time correlation can be performed with a coherent read out. This technique leads us to the development of an automatic large capacity optical correlator.

Document Details

Document Type
Technical Report
Publication Date
May 01, 1987
Accession Number
ADA182774

Entities

People

  • Francis T. Yu

Organizations

  • Pennsylvania State University

Tags

DTIC Thesaurus Topics

  • Correlators
  • Filters
  • Filtration
  • Identification
  • Image Recognition
  • Liquid Crystals
  • Matched Filters
  • Optical Correlators
  • Optical Scanning
  • Recognition
  • Scanning
  • Signal Detection

Fields of Study

  • Physics

Readers

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

Technology Areas

  • AI & ML