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Semi-Supervised Based Hyperspectral Imagery Classification
Hyperspectral imagery classification is a challenging problem. Wherein, the high number of spectral channels and the high cost of true sample labeling greatly reduce the classification precision. In this paper, we proposed a semi-supervised method, which combine linear discriminant analysis and mani...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IFSA Publishing, S.L.
2013-09-01
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| Serie: | Sensors & Transducers |
| Soggetti: | |
| Accesso online: | http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1360.pdf |
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