Fuzzy Fusion Method for Combining Small Number of Classifiers in Hyperspectral Image Classification

Chuang, Chun‐Hsiang; Kuo, Bor‐Chen; Wang, Hsuan-Po

doi:10.1109/isda.2008.107

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A Washington DC Mall Data Set1

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2010

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Cited by 2 publications

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“…Figs. [13][14][15] are the classification results of the area of Fig. 4 using single classifier, RSM and DSMw2 with ML, kNN, SVM, and BCC, respectively.…”

Section: A Washington DC Mall Data Setmentioning

confidence: 99%

“…It is a general technique that can be used with any type of base classifier [7]- [12]. Moreover, much research [13]- [15] has demonstrated its validness for hyperspectral image classification. In RSM, each weak classifier is constructed in a subspace with bands randomly selected from the original ones, and the subspace dimensionality is usually predefined.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Dynamic Subspace Method for Hyperspectral Image Classification

Yang

Kuo

et al. 2010

IEEE Trans. Geosci. Remote Sensing

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“…Figs. [13][14][15] are the classification results of the area of Fig. 4 using single classifier, RSM and DSMw2 with ML, kNN, SVM, and BCC, respectively.…”

Section: A Washington DC Mall Data Setmentioning

confidence: 99%