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An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images

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An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images (English)

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S.B. Serpico

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L. Bruzzone

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F. Roli

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publication date

November 1996

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published in

Pattern Recognition Letters

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volume

17

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issue

13

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page(s)

1331-1341

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cites work

Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data

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Classification and feature extraction of AVIRIS data

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Learning vector quantization for the probabilistic neural network.

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Parallel, self-organizing, hierarchical neural networks.

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Neural Network Classifiers Estimate Bayesian a posteriori Probabilities

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Probabilistic neural networks

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Estimation of a multivariate density

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10.1016/S0167-8655(96)00090-6

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DBLP publication ID

journals/prl/SerpicoBR96

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28 January 2021

(Q60392824)

An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images

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