Classification of hyperspectral imagery using a fully complex-valued wavelet neural network with deep convolutional features

•A novel approach is proposed for the classification of hyperspectral imagery (HSI).•A novel complex-valued attribute set is obtained for the HSI classification.•Complexity analysis shows the applicability of the algorithm.•Experimental results demonstrate the superiority and effectiveness of the me...

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Veröffentlicht in:	Expert systems with applications 2021-07, Vol.173, p.114708, Article 114708
1. Verfasser:	Peker, Musa
Format:	Artikel
Sprache:	eng
Schlagworte:	Airborne observation Algorithms Artificial neural networks Classification Complex-valued wavelet neural network (CVWNN) Convolutional neural network (CNN) Deep feature extraction Feature extraction Hyperspectral image classification Hyperspectral imaging Image classification Machine learning Multilayers Neural networks Object recognition Spectral bands
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