Phenomenology-Based Inverse Scattering for Sensor Information Fusion

Abstract

Fusion of sensor and communication data currently can only be performed at a late processing stage after sensor and textual information are formulated as logical statements at appropriately high level of abstraction. Contrary to this it seems, the human mind integrates sensor and language signals seamlessly, before signals are understood, at preconceptual level. Learning of conceptual contents of the surrounding world depends on language and vice versa. This paper uses phenomenology of the human mind and sensing processes to achieve high-level sensor fusion. We describe a phenomenology-based inverse scattering (PBIS) mathematical technique for such integration. It combines PBIS based on dynamic logic with dual cognitive-language models. The paper briefly discusses relationships between the proposed mathematical technique, working of the mind and applications to understanding-based search engines.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2006
Accession Number
ADA456574

Entities

People

  • Kung-hau Ding

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computational Complexity
  • Computational Science
  • Detection
  • Intelligent Systems
  • Inverse Scattering
  • Language
  • Linguistics
  • Ontologies
  • Psychology
  • Sensor Fusion
  • Situational Awareness
  • Two Dimensional
  • Wireless Sensor Networks

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • Sensor Fusion and Tracking Systems.