Automated Screening of Reconnaissance Imagery.

Abstract

A novel strategy for automated screening of reconnaissance imagery has been formulated based on the exploitation of digital terrain data, map-to-image correspondence and explicit representation of map, terrain and sensor knowledge. These concepts address the emerging battlefield situation where the ability to acquire timely reconnaissance data from a diverse set of sensors far exceeds the capacity to interpret the imagery. Exploitation of digital map and intelligence data present important opportunities to simplify and improve computer-assisted and automated image analysis. One set of technical issues concerns implementation of map-to-image correspondence for various reconnaissance sensors including conventional mapping and reconnaissance cameras and synthetic aperture radar (SAR) systems. Here, a deterministic approach is used to implement geometric constraints based on rigorous sensor models, routine recovery of acquisition parameters and three-dimensional digital map data. Keywords include: Automated screening, Reconnaissance imagery exploitation, and Digital terrain data.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 1986
Accession Number
ADA187974

Entities

People

  • George E. Lukes

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Aerial Photography
  • Artificial Intelligence
  • California
  • Cameras
  • Cartography
  • Detectors
  • Digital Images
  • Digital Maps
  • Image Processing
  • Image Registration
  • Maps
  • Pattern Recognition
  • Radar Images
  • Remote Sensing
  • Synthetic Aperture Radar
  • United States

Readers

  • Computer Vision.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.