Information Fusion for Feature Extraction and the Development of Geospatial Information

Abstract

Numerous military missions require timely, accurate geospatial intelligence, yet the extraction of geospatial information from imagery data is generally a labor-intensive process. Automated tools to assist analysts in this process would be of tremendous benefit for the production of geospatial intelligence at the National Geospatial- Intelligence Agency (NGA). Methods that rely on data from a single image, while useful, generally fall short of producing useable geospatial products. Fusion-based methods which jointly process and exploit information from multiple sources offer ways to address many of the limitations of single-source analysis. This paper discusses the needs for geospatial intelligence and examines the benefits of fusion to address these needs. Results from several recent studies demonstrate the value added from a number of tools for automated data extraction (ADE). Experience gleaned from these studies also indicates several areas where new research and development is needed. The paper concludes with a brief discussion of future directions.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2004
Accession Number
ADA524605

Entities

People

  • John M. Irvine
  • Michael A. O'brien

Organizations

  • National Geospatial-Intelligence Agency

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Change Detection
  • Combat Operations
  • Detection
  • Extraction
  • Feature Extraction
  • Geographic Regions
  • Geospatial Intelligence
  • Machine Learning
  • Materials
  • Military Operations
  • Production
  • Radar
  • Robotics
  • Standards
  • Test And Evaluation
  • Three Dimensional
  • Training

Readers

  • Computer Vision.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy