A Physically Constrained and Library-Guided Convolutional Autoencoder for Mineral Hyperspectral Unmixing

Hyperspectral unmixing is an important technique for mineral mapping because natural geological scenes commonly contain mixed pixels composed of multiple spectrally overlapping materials. In mineral environments, these mixtures are often intimate rather than purely areal, and nonlinear scattering ef...

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Hlavní autoři:	Yuxi Hao, Kai Qin, Yingjun Zhao, Guofang Yang, Xin Cui, Ling Zhu, Jun Yang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-05-01
Edice:	Remote Sensing
Témata:	hyperspectral unmixing alteration minerals convolutional autoencoder Hapke model
On-line přístup:	https://www.mdpi.com/2072-4292/18/11/1723
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