Feature extraction based on the Bhattacharya distance for multimodal data

Euisun Choi, Chul Hee Lee

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper, we propose a feature extraction method based on the Bhattacharyya distance for multimodal data. First, we estimate the classification error based on the Bhattacharyya distance between two multimodal classes that are approximated by a finite mixture of Gaussian distributions. Then we extract the features that minimize the estimated classification error. In order to find such features, we explore two search methods: sequential search and global search. Experiments show that the proposed feature extraction algorithm shows promising results.

Original languageEnglish
Pages524-526
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

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Choi, E., & Lee, C. H. (2001). Feature extraction based on the Bhattacharya distance for multimodal data. 524-526. Paper presented at 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001), Sydney, NSW, Australia.