Abstract
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.
Original language | English |
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Pages (from-to) | 1471-1475 |
Number of pages | 5 |
Journal | IEEE Transactions on Geoscience and Remote Sensing |
Volume | 38 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2000 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Earth and Planetary Sciences(all)