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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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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IFSA Publishing, S.L.
2013-09-01
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| Collection: | Sensors & Transducers |
| Sujets: | |
| Accès en ligne: | http://www.sensorsportal.com/HTML/DIGEST/september_2013/P_1360.pdf |
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