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Deep Learning Model for the Image Fusion and Accurate Classification of Remote Sensing Images
Deep learning is widely used for the classification of images that have various attributes. Image data are used to extract colour, texture, form, and local features. These features are combined in feature-level image fusion to create a merged remote sensing image. A trained depth belief network (DBN...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708323/ https://www.ncbi.nlm.nih.gov/pubmed/36458232 http://dx.doi.org/10.1155/2022/2668567 |