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...

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Detalles Bibliográficos
Autores principales: Das, Arijit, Saha, Indrajit, Scherer, Rafał
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729750/
https://www.ncbi.nlm.nih.gov/pubmed/33260347
http://dx.doi.org/10.3390/s20236823

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