Estimation of classification error based on the Bhattacharyya distance for multimodal data

Euisun Choi, Chulhee Lee

Research output: Contribution to conferencePaper

3 Citations (Scopus)

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 languageEnglish
Pages1874-1876
Number of pages3
Publication statusPublished - 2001 Dec 1
Event2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia
Duration: 2001 Jul 92001 Jul 13

Other

Other2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
CountryAustralia
CitySydney, NSW
Period01/7/901/7/13

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Choi, E., & Lee, C. (2001). Estimation of classification error based on the Bhattacharyya distance for multimodal data. 1874-1876. Paper presented at 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001), Sydney, NSW, Australia.