Advanced Electronics Technology

Abstract

The objective of the Machine Intelligence Program has been the application of MI techniques to problems in the interpretation and utilization of data produced by imaging sensors. Past emphasis has been on algorithms for ISAR (Inverse Synthetic Array Radar) and SAR (Synthetic Array Radar) imaging sensors and on processors for real-time, fully-automated applications such as automatic recognition of reentry vehicles (the ISAR application) and of ground vehicles (the SAR application). The image understanding application emphasis has been shifted over the past 18 months to concentrate on exploitation technology for visible and IR multispectral sensors, most particularly night vision research in which low-light visible and IR images are combined to create a color night vision capability. Fusion techniques have also been applied to image enhancement and color display algorithm development to facilitate analyst-based exploitation of multispectral surveillance images, and to multispectral surveillance algorithm research to develop automatic target detection algorithms for operation in complex environments. The line-supported work on night vision was completed last FY, with follow-on work on algorithms, real-time implementation, and low-light CCD sensor technology being funded by DARPA.

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Document Details

Document Type
Technical Report
Publication Date
Aug 15, 1998
Accession Number
ADA532677

Entities

People

  • Charles W. Niessen
  • David C. Shaver

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Cyber
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Charge Coupled Devices
  • Computer Networks
  • Cybersecurity
  • Denial Of Service Attack
  • Detection
  • Detectors
  • Electronic Mail
  • Electronics
  • Electronics Laboratories
  • Information Systems
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Materials
  • Photolithography
  • Power Electronics
  • Semiconductors

Readers

  • Computer Vision.
  • Image Processing and Computer Vision.
  • Radar Systems Engineering.

Technology Areas

  • Microelectronics