Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction

Due to the superior spatial–spectral extraction capability of the convolutional neural network (CNN), CNN shows great potential in dimensionality reduction (DR) of hyperspectral images (HSIs). However, most CNN-based methods are supervised while the class labels of HSIs are limited and difficult to...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Na Li, Deyun Zhou, Jiao Shi, Mingyang Zhang, Tao Wu, Maoguo Gong
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2021-02-01
Schriftenreihe:	Remote Sensing
Schlagworte:	deep fully convolutional embedding network dimensionality reduction hyperspectral images classification
Online-Zugang:	https://www.mdpi.com/2072-4292/13/4/706
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