Using uncertainty information to combine soft classifications

Luisa M. S. Gonçalves, Cidália C. Fonte, Mário Caetano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of different soft classifications may be combined to increase the classification accuracy, using the uncertainty information to choose the best class to assign to each pixel. If there is disagreement between the outputs obtained with the several classifiers, the proposed method selects the class to assign to the pixel choosing the one that presents less uncertainty. The proposed approach was applied to an IKONOS image, which was classified using two supervised soft classifiers, the Multi-layer Perceptron neural network classifier and a fuzzy classifier based on the underlying logic of the Minimum-Distance-to-Means. The overall accuracy of the classification obtained with the combination of both classifications with the proposed methodology was higher than the overall accuracy of the original classifications, which shows that the methodology is promising and may be used to increase classification accuracy.

Original languageEnglish
Title of host publicationComputational Intelligence for Knowledge-Based Systems Design - 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Proceedings
Pages455-463
Number of pages9
DOIs
Publication statusPublished - 29 Jul 2010
Event13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010 - Dortmund, Germany
Duration: 28 Jun 20102 Jul 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6178 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010
CountryGermany
CityDortmund
Period28/06/102/07/10

Keywords

  • combining soft classifications
  • Soft classifiers
  • uncertainty information

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  • Cite this

    Gonçalves, L. M. S., Fonte, C. C., & Caetano, M. (2010). Using uncertainty information to combine soft classifications. In Computational Intelligence for Knowledge-Based Systems Design - 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Proceedings (pp. 455-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6178 LNAI). https://doi.org/10.1007/978-3-642-14049-5_47