Automatic Knowledge Acquisition for Aerial Image Interpretation.

Abstract

The interpretation of aerial photographs requires a lot of knowledge about the scene under consideration. Knowledge about the type of scene: airport, suburban housing development, urban city, aids in low-level and intermediate level image analysis, and will drive high-level interpretation by constraining search for plausible consistent scene models. Collecting and representing large knowledge bases requires specialized tools. In this paper we describe the organization of a set of tools for interactive knowledge acquisition of scene primitives and spatial constraints for interpretation of aerial imagery. These tools include a user interface for interactive knowledge acquisition, the automated compilation of that knowledge from a schema-based representation into productions that are directly executable by our interpretation system, and a performance analysis tool that generates a critique of the final interpretation. Finally, the generality of these tools is demonstrated by the generation of rules for a new task, suburban house scenes, and the analysis of a set of imagery by our interpretation system.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA188616

Entities

People

  • David M. Mckeown Jr.
  • Wilson A. Harvey

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Acquisition
  • Aerial Photographs
  • Aerial Photography
  • Artificial Intelligence
  • Computer Science
  • Computer Vision
  • Computers
  • Demographic Cohorts
  • Geometry
  • Image Segmentation
  • Images
  • Information Processing
  • Pattern Recognition
  • Photographs
  • Production
  • Recognition
  • User Interface

Readers

  • Artificial Intelligence
  • Computer Vision.