A Method for Automatic Water Mass Classification.

Abstract

A method for automatic water mass classification from satellite radiometric data uses Bayesian decision theory. The mean, standard deviation and gradient of corrected satellite infrared temperature data is computer with a window and assigned to the center pixel. The probability for each statistic is computed for each class of ocean front/water mass based upon historical statistical values. The class having the maximum probability is then tested to reduce the chance of the misclassification. The result is a class value assigned to each pixel position representative of a particular oceanic front/water mass. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 06, 1984
Accession Number
ADD011405

Entities

People

  • C. W. Horton
  • R. E. Coulter

Organizations

  • United States Department of the Navy

Tags

DTIC Thesaurus Topics

  • Artificial Satellites
  • Automatic
  • Classification
  • Computers
  • Data Science
  • Decision Theory
  • Information Science
  • Isotherms
  • Mathematics
  • Probability
  • Standards
  • Temperature Gradients
  • Water Masses

Readers

  • Computer Vision.
  • Oceanography.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Space Objects