Modular Algorithm Testbed Suite (MATS): A Software Framework for Automatic Target Recognition

Abstract

Automatic target recognition (ATR) is a promising technology that could significantly improve naval mine countermeasures (MCM) operations by automating a large portion of the data analysis. Successful long-term implementation of ATR requires a flexible platform to facilitate the development and testing of ATR algorithms. To that end, NSWC PCD has created the Modular Algorithm Testbed Suite (MATS), a modular software architecture for ATR development. The MATS framework provides a common ATR development architecture for disparate development groups and serves as the integration point for introducing ATR into Fleet post-mission analysis (PMA) systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1041604

Entities

People

  • Bradley C. Marchand
  • Derek R. Kolacinski

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programs
  • Computers
  • Data Analysis
  • Data Sets
  • Detection
  • Detectors
  • Estimators
  • False Alarms
  • Feature Extraction
  • Frequency
  • Frequency Bands
  • Graphical User Interface
  • Graphics
  • Standards
  • Target Recognition
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Acoustical Oceanography.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neural Network Machine Learning.