Multi-Disciplinary Techniques for Understanding Time-Varying Space-Based Imagery.

Abstract

This project is intended to combine: pattern recognition, image understanding and artificial intelligence techniques for space-based image processing as well as: optical and digital processing methods. Optical feature extraction and sub-pixel target detection and tracking results are summarized. Scene representation and modeling work using: probabilistic graph matching, multiple resolution rotation-invariant operators and texture analysis are detailed. Image understanding techniques for 3D scene interpretation discussed include 2D image-level methods (using features such as edges, lines and corners) and 3D scene-level methods. New dynamic programming, stereo image and model building results are included.

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Document Details

Document Type
Technical Report
Publication Date
May 10, 1985
Accession Number
ADA185286

Entities

People

  • Arthur Sanderson
  • David P. Casasent
  • Takeo Kanade

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cameras
  • Change Detection
  • Computational Science
  • Computer Vision
  • Data Processing
  • Databases
  • Detectors
  • Image Processing
  • Information Science
  • Machine Learning
  • Operating Systems
  • Pattern Recognition
  • Systems Engineering
  • Target Recognition
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.

Technology Areas

  • AI & ML
  • Space