Exemplifying the theory of evidence in remote sensing image classification

被引：24

作者：

Mertikas, P ^{[1
]}

Zervakis, ME

机构：

[1] Tech Univ Crete, Mineral Resources Engn Dept, GR-73100 Chania, Crete, Greece

[2] Tech Univ Crete, Dept Elect & Comp Engn, GR-73100 Chania, Crete, Greece

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2001年 / 22卷 / 06期

关键词：

D O I：

10.1080/01431160118597

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页码：1081 / 1095

页数：15

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