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Interpreting Aerial Images: A Knowledge-Level Analysis

  • A. Darwish
  • T. Pridmore
  • D. Elliman
Conference paper

Abstract

Many image understanding systems rely heavily on a priori knowledge of their domain of application, drawing parallels with and exploiting techniques developed in the wider field of knowledge-based systems (KBSs). Attempts, typified by the KADS/CommonKADS projects, have recently been made to develop a structured, knowledge engineering approach to KBS development. Those working in image understanding, however, continue to employ 151 generation KBS methods. The current paper presents an analysis of existing image understanding systems; specifically those concerned with aerial image interpretation, from a knowledge engineering perspective. Attention is focused on the relationship between the structure of the systems considered and the existing KADS/CommonKADS models of expertise, sometimes called “generic task models”. Mappings are identified between each system and an appropriate task model, identifying common inference structures and use of knowledge.

Keywords

Task Model Aerial Image Simple Classification Remote Sensing Image Inference Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2002

Authors and Affiliations

  • A. Darwish
    • 1
  • T. Pridmore
    • 1
  • D. Elliman
    • 1
  1. 1.School of Computer Science & Information Technology, Jubilee CampusUniversity of NottinghamNottinghamUK

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