Joint Data Management for MOVINT Data-to-Decision Making

Abstract

Joint data management (JDM) includes the hardware (e.g., sensors/targets), software (e.g., processing/algorithms), and operations (environments) of data exchange that enable persistent surveillance in the context of a data-to-decision making (D2D) information fusion enterprise. Key attributes of an information system require pragmatic assessment of data and information management, distributed communications, knowledge representation, human-systems interaction, as well as a balanced sensor mix, algorithm choice, and life-cycle data management. Throughout the paper, we seek to describe the current technology, research approaches, and metrics that influence a realizable JDM product. We develop JDM methods for structured and unstructured data to determine an accurate target track and identification as a moving intelligence (MOVINT) capability. We examine classification methods of unstructured data using seismic, acoustic, and combined fusion methods for data analysis and information management.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2011
Accession Number
ADA562579

Entities

People

  • Erik P. Blasch
  • Guna Seetharaman
  • Stephen Russell

Organizations

  • DRDC Valcartier

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Programming
  • Computers
  • Data Management
  • Data Mining
  • Databases
  • Detection
  • Detectors
  • Identification
  • Information Systems
  • Machine Learning
  • Military Research
  • Ontologies
  • Sensor Networks
  • Supervised Machine Learning
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Sensor Fusion and Tracking Systems.
  • Software Engineering.