Skip to main content

Exemplifying the theory of evidence in remote sensing image classification

Buy Article:

$55.00 plus tax (Refund Policy)

This article introduces the mathematical theory of evidence in classifying remote sensing images. Its main intent is to introduce the less familiar concepts of belief functions in image classification. The belief function can be considered as a generalisation of the classical Bayes probability function that includes, however, a way to assess the strength of evidence. To illustrate the theory of evidence, seven examples are given.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Mineral Resources Engineering Department Technical University of Crete, GR-73 100, Chania, Crete, Greece 2: Department of Electronic and Computer Engineering, Technical University of Crete, GR-73 100, Chania, Crete, Greece

Publication date: 2001-04-20

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more