Automatic Target Recognition User Interface Tool

Abstract

A computer tool to aid in selecting the best Automatic Target Recognition (ATR) algorithm is developed. The program considers many quantifiers, accepts user-defined parameters, allows for changes in the operational environment and presents results in a meaningful way. It is written for Microsoft Excel. An ATR algorithm assigns a class label to a recognized target. General designations can include "Friend" and "Foe." The error of designating "Friend" as "Foe" as well as "Foe" as "Friend" comes with a high cost. Studying each algorithm's error can minimize this cost. Receiver Operating Characteristic (ROC) curves provide only information on the probabilities given a system state of declaring up to three class labels: "True," "False" or "Unknown." Other quantifiers, including an alternate ROC curve, are developed in this study to provide information on the probability of a system state given any of multiple declarations, which is more useful to the user. Sensitivity to prior probabilities, suggestions for user-defined parameters and areas for future research are identified as the User Interface Tool is described in detail in this thesis.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA466682

Entities

People

  • David A. Kerns

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Automatic
  • Computations
  • Computer Programming
  • Computers
  • Detection
  • Identification
  • Identification Systems
  • Literature Surveys
  • Probability
  • Recognition
  • Spreadsheet Software
  • Statistics
  • Target Recognition
  • Training
  • User Interface

Readers

  • Computational Linguistics
  • Database Systems and Applications
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference