Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation
Hyperspectral imaging has many applications from agriculture and astronomy to surveillance and mineralogy. However, it is often challenging to obtain high-resolution (HR) hyperspectral images using existing hyperspectral imaging techniques due to various hardware limitations. In this paper, we propo...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 25(2016), 5 vom: 01. Mai, Seite 2337-52
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| 1. Verfasser: |
Dong, Weisheng
(VerfasserIn) |
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| Weitere Verfasser: |
Fu, Fazuo,
Shi, Guangming,
Cao, Xun,
Wu, Jinjian,
Li, Guangyu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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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
Research Support, Non-U.S. Gov't |
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