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Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data
With the development of high-resolution optical sensors, the classification of ground objects combined with multivariate optical sensors is a hot topic at present. Deep learning methods, such as convolutional neural networks, are applied to feature extraction and classification. In this work, a nove...
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| Publicado en: | Sensors (Basel) |
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| Autores principales: | , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6339065/ https://ncbi.nlm.nih.gov/pubmed/30626030 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19010204 |
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