Hyperspectral image classification through bilayer graph-based learning
Hyperspectral image classification with limited number of labeled pixels is a challenging task. In this paper, we propose a bilayer graph-based learning framework to address this problem. For graph-based classification, how to establish the neighboring relationship among the pixels from the high dim...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 7 vom: 15. Juli, Seite 2769-78
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| 1. Verfasser: |
Gao, Yue
(VerfasserIn) |
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| Weitere Verfasser: |
Ji, Rongrong,
Cui, Peng,
Dai, Qionghai,
Hua, Gang |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2014
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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
Research Support, U.S. Gov't, Non-P.H.S. |
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