The Bayesian Approach to Identification of a Remotely Sensed Environment

Abstract

The first part of the paper provides a brief tutorial introduction of the Bayesian Approach to identification of a remotely sensed environment. The second part describes the input data deck setup for the Fortran IV program which has been written to implement this approach. The third part describes file usage and subroutine organization. The fourth part provides a listing of the program with a simple sample data set.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1969
Accession Number
AD0860060

Entities

People

  • Robert Haralick

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Bayesian Networks
  • Chemical Engineering
  • Contracts
  • Data Sets
  • Department Of Defense
  • Detectors
  • Engineering
  • Engineers
  • Environment
  • Environmental Health
  • Information Systems
  • Measurement
  • Probability
  • Probability Distributions
  • Remote Detectors
  • Standards

Readers

  • Computer Science.
  • Neural Network Machine Learning.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference