Double Deep Q-Network for Hyperspectral Image Band Selection in Land Cover Classification Applications

Hyperspectral data usually consists of hundreds of narrow spectral bands and provides more detailed spectral characteristics compared to commonly used multispectral data in remote sensing applications. However, highly correlated spectral bands in hyperspectral data lead to computational complexity,...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Hua Yang, Ming Chen, Guowen Wu, Jiali Wang, Yingxi Wang, Zhonghua Hong
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-01-01
Schriftenreihe:	Remote Sensing
Schlagworte:	band selection deep reinforcement learning hyperspectral imagery classification neural network supervised learning
Online-Zugang:	https://www.mdpi.com/2072-4292/15/3/682
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!