Deep Posterior Distribution-Based Embedding for Hyperspectral Image Super-Resolution
In this paper, we investigate the problem of hyperspectral (HS) image spatial super-resolution via deep learning. Particularly, we focus on how to embed the high-dimensional spatial-spectral information of HS images efficiently and effectively. Specifically, in contrast to existing methods adopting...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 30., Seite 5720-5732
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| 1. Verfasser: |
Hou, Jinhui
(VerfasserIn) |
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| Weitere Verfasser: |
Zhu, Zhiyu,
Hou, Junhui,
Zeng, Huanqiang,
Wu, Jinjian,
Zhou, Jiantao |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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