Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Image Feature Extraction

Terrain classification is an important research direction in the field of remote sensing. Hyperspectral remote sensing image data contain a large amount of rich ground object information. However, such data have the characteristics of high spatial dimensions of features, strong data correlation, hig...

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Hlavní autoři:	Hongda Li, Jian Cui, Xinle Zhang, Yongqi Han, Liying Cao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-09-01
Edice:	Remote Sensing
Témata:	hyperspectral images data dimensionality reduction feature extraction machine learning cell decomposition
On-line přístup:	https://www.mdpi.com/2072-4292/14/18/4579
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