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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2025-01-01
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| Colección: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/10836880/ |
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