8 December 2015 An evaluation of popular hyperspectral images classification approaches
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Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 987505 (2015) https://doi.org/10.1117/12.2228602
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain
Abstract
This work is devoted to the problem of the best hyperspectral images classification algorithm selection. The following algorithms are used for comparison: decision tree using full cross-validation; decision tree C 4.5; Bayesian classifier; maximum-likelihood method; MSE minimization classifier, including a special case – classification by conjugation; spectral angle classifier (for empirical mean and nearest neighbor), spectral mismatch classifier and support vector machine (SVM). There are used AVIRIS and SpecTIR hyperspectral images to conduct experiments.
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Andrey Kuznetsov, Andrey Kuznetsov, Vladislav Myasnikov, Vladislav Myasnikov, } "An evaluation of popular hyperspectral images classification approaches", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 987505 (8 December 2015); doi: 10.1117/12.2228602; https://doi.org/10.1117/12.2228602
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