Bayes error evaluation of the Gaussian ML classifier

被引：34

作者：

Lee, C ^{[1
]}

Choi, E ^{[1
]}

机构：

[1] Yonsei Univ, Dept Elect Engn, Seoul 120749, South Korea

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2000年 / 38卷 / 03期

关键词：

Bhattacharyya distance; classification error; error estimation; feature extraction; Gaussian ML classifier; multispectral data;

D O I：

10.1109/36.843045

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

We investigate the relationship between the classification error and the Bhattacharyya distance of two normally distributed classes and propose a new equation that provides an accurate error estimation for the Gaussian ML classifier. With the error estimation equation, it is possible to estimate the classification error within a 1-2% margin.

引用

页码：1471 / 1475

页数：5

共 8 条

[1]

BIEHL LL, 1982, P MACH PROC REM SENS

[2] ESTIMATION OF CLASSIFICATION ERROR [J].