A Study on Dimensionality Reduction and Parameters for Hyperspectral Imagery Based on Manifold Learning

With the rapid advancement of remote-sensing technology, the spectral information obtained from hyperspectral remote-sensing imagery has become increasingly rich, facilitating detailed spectral analysis of Earth’s surface objects. However, the abundance of spectral information presents certain chall...

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Hlavní autoři:	Wenhui Song, Xin Zhang, Guozhu Yang, Yijin Chen, Lianchao Wang, Hanghang Xu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-03-01
Edice:	Sensors
Témata:	hyperspectral imagery manifold learning dimensionality reduction feature extraction optimal neighborhood intrinsic dimensionality
On-line přístup:	https://www.mdpi.com/1424-8220/24/7/2089
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