Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339065/ https://www.ncbi.nlm.nih.gov/pubmed/30626030 http://dx.doi.org/10.3390/s19010204 |