Abstract
In this paper, we investigate the possibility of error estimation based on the Bhattacharyya distance for multimodal data. Assuming multimodal data can be approximated as a mixture of several classes that has the Gaussian distribution, we try to find the empirical relationship between the Bhattacharyya distance and the classification error for multimodal data. Experimental results with remotely sensed data showed that there exists a strong relationship and that it is possible to predict the classification error using the Bhattacharyya distance for multimodal data.
| Original language | English |
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| Pages | 1874-1876 |
| Number of pages | 3 |
| Publication status | Published - 2001 |
| Event | 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia Duration: 2001 Jul 9 → 2001 Jul 13 |
Other
| Other | 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) |
|---|---|
| Country/Territory | Australia |
| City | Sydney, NSW |
| Period | 01/7/9 → 01/7/13 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Earth and Planetary Sciences(all)