Image Understanding for Database Query.

Abstract

The objective of the Image Understanding for Database Query (IU4DBQ) effort was to combine the powerful reasoning capabilities of the Loom knowledge representation system with the extensive image processing and feature extraction capabilities of KB Vision TM. Another important aspect of this effort was to apply the algorithms developed to realistic reconnaissance imagery. A major challenge was to integrate Loom and KB Vision TM within a useful context for the softcopy reconnaissance imagery available in the Rome Laboratory (RL) IE 2000 facility. The most practical use for Loom is to query the imagery server databases and determine images that have specific characteristics that are most suitable for processing. This suitability is based on the target area of interest, the presence of unconfirmed targets, and the quality of the imagery.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1997
Accession Number
ADA327320

Entities

People

  • Charles Ferrara
  • Scott Barrett

Tags

Communities of Interest

  • C4I
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Command And Control
  • Computer Science
  • Computer Vision
  • Databases
  • Detection
  • Extraction
  • Feature Extraction
  • Image Processing
  • Order Of Battle
  • Recognition
  • Reconnaissance
  • Shell Scripts
  • Signal Processing
  • Warfare

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Database Systems and Applications
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval