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GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification
In recent years, hyperspectral images (HSIs) have attained considerable attention in computer vision (CV) due to their wide utility in remote sensing. Unlike images with three or lesser channels, HSIs have a large number of spectral bands. Recent works demonstrate the use of modern deep learning bas...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729750/ https://www.ncbi.nlm.nih.gov/pubmed/33260347 http://dx.doi.org/10.3390/s20236823 |