A method for hyperspectral satelite image classification using dempster’s combination rule

1Popov, MO, 2Podorvan, VM, 2Alpert, SІ
1State institution «Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Science of the National Academy of Sciences of Ukraine», Kyiv, Ukraine
2State institution «Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine», Kyiv, Ukraine
Kosm. nauka tehnol. 2015, 21 ;(1):25–37
Section: Remote sensing of the Earth
Publication Language: Ukrainian

This paper proposes the new method for hyperspectral satellite image classification using the Dempster-Shafer evidence theory. The method differs from the known solutions by introducing a procedure of assessing classification value of the spectral bands by a special empirical function and by specific approach to partition of the spectral feature space. Such an approach allows to use only the most informative spectral bands that significantly reduces the dimension of the feature space while improving classification accuracy. The software for the proposed method and the results of evaluation of the classification accuracy, which is really achieved, are presented.

Keywords: Dempster-Shafer’s Evidence Theory, hyperspectral satellite image, image classification, informativity function.

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