Taking Fuzzy-Rough Application to Mars: Fuzzy-Rough Feature Selection for Mars Terrain Image Classification

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dc.contributor.author Barnes, Dave
dc.contributor.author Shen, Qiang
dc.contributor.author Shang, Changjing
dc.date.accessioned 2009-10-22T14:21:09Z
dc.date.available 2009-10-22T14:21:09Z
dc.date.issued 2009-10-22
dc.identifier.citation Barnes , D , Shen , Q & Shang , C 2009 , ' Taking Fuzzy-Rough Application to Mars: Fuzzy-Rough Feature Selection for Mars Terrain Image Classification ' pp. 209-216 . en
dc.identifier.other PURE: 133728
dc.identifier.other dspace: 2160/3276
dc.identifier.uri http://hdl.handle.net/2160/3276
dc.description C. Shang, D. Barnes and Q. Shen. Taking fuzzy-rough application to Mars: Fuzzy-rough feature selection for Mars terrain image classification. Proceedings of the 12th International Conference on Rough Sets, LNAI 5908, pp. 209-216, 2009. en
dc.description.abstract This paper presents a novel application of fuzzy-rough setbased feature selection (FRFS) for Mars terrain image classification. The work allows the induction of low-dimensionality feature sets from sample descriptions of feature patterns of a much higher dimensionality. In particular, FRFS is applied in conjunction with multi-layer perceptron and K-nearest neighbor based classifiers. Supported with comparative studies, the paper demonstrates that FRFS helps to enhance the effectiveness and efficiency of conventional classification systems, by minimizing redundant and noisy features. This is of particular significance for on-board image classification in future Mars rover missions. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof en
dc.title Taking Fuzzy-Rough Application to Mars: Fuzzy-Rough Feature Selection for Mars Terrain Image Classification en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.description.status Non peer reviewed en


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