Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields With Gaussian and Markov Processes

This article presents a novel hyperspectral image (HSI) classification approach that integrates the sparse inducing variational Gaussian process (SIVGP) with a spatially adaptive Markov random field (SAMRF), termed G-MDRF. Variational inference is employed to obtain a sparse approximation of the pos...

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Hlavní autoři:	Yaqiu Zhang, Lizhi Liu, Xinnian Yang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Gaussian processes (GPs) hyperspectral image (HSI) classification Markov random field (MRF) stochastic processes
On-line přístup:	https://ieeexplore.ieee.org/document/10836880/
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