Exemplifying the theory of evidence in remote sensing image classification

Authors: Mertikas, P.1; Zervakis, M. E.2

Source: International Journal of Remote Sensing, Volume 22, Number 6, 2001 , pp. 1081-1095(15)

Publisher: Taylor and Francis Ltd

Buy & download fulltext article:

OR

Price: $61.16 plus tax (Refund Policy)

Abstract:

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.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/01431160118597

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: April 20, 2001

More about this publication?
Related content

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page