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Proceedings Paper

An evaluation of popular hyperspectral images classification approaches
Author(s): Andrey Kuznetsov; Vladislav Myasnikov
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Paper 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.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 987505 (8 December 2015); doi: 10.1117/12.2228602
Show Author Affiliations
Andrey Kuznetsov, Samara State Aerospace Univ. (Russian Federation)
Vladislav Myasnikov, Samara State Aerospace Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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