Integrated Color CCD and LADAR Based Object Modeling and Recognition: A Coregistration Approach to Multisensor Target Recognition with Extensions to Exploit Digital Elevation Map Data

Abstract

A target recognition capability is described that performs: color target detection, target type and pose hypothesis generation, and target type verification by 3-D alignment of target models to range and electro-optical imagery. The term coregistration' is introduced to describe target, range and electro-optical (color and IR) sensor alignment correction. Online model feature prediction using 3-D military vehicle models is demonstrated for 3-D vehicle models. All phases of the recognition cycle are shown on near-boresight- aligned electro-optical and range imagery collected at Fort Carson, Colorado. As a step toward integrating constraints from Digital Elevation Maps (DEM), an automated terrain feature prediction and matching capability is demonstrated. This terrain matching is used to refine DEM to ground-looking imagery registration.

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Document Details

Document Type
Technical Report
Publication Date
Sep 08, 1997
Accession Number
ADA332595

Entities

People

  • Allen Hanson
  • Bruce A. Draper
  • J. R. Beveridge
  • Kris Siejko
  • Mark R. Stevens

Organizations

  • Colorado State University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Automata Theory
  • Computer Vision
  • Coordinate Systems
  • Detection
  • Detectors
  • Geometric Forms
  • Geometry
  • Identification
  • Identification Systems
  • Machine Learning
  • Neural Networks
  • Object Recognition
  • Pattern Recognition
  • Recognition
  • Target Recognition
  • Three Dimensional
  • Unmanned Ground Vehicles

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.