Title :
Bayes error evaluation of the Gaussian ML classifier
Author :
Lee, Chulhee ; Choi, Euisun
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
5/1/2000 12:00:00 AM
Abstract :
The authors 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
Keywords :
Bayes methods; geophysical signal processing; geophysical techniques; image classification; remote sensing; terrain mapping; Bayes error evaluation; Bhattacharyya distance; Gaussian ML classifier; accurate error estimation; classification error; error estimation equation; geophysical measurement technique; image classification; land surface; maximum likelihood; normally distributed class; remote sensing; terrain mapping; Crops; Equations; Error analysis; Gaussian distribution; Maximum likelihood estimation; Pattern classification; Remote monitoring; Remote sensing; Statistical distributions; Upper bound;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
