GhoMR: Multi-Receptive Lightweight Residual Modules for Hyperspectral Classification

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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Bibliographic Details
Main Authors: Arijit Das, Indrajit Saha, Rafał Scherer
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
convolutional neural network
deep learning
feature extraction
hyperspectral image classification
multi-receptive module
remote sensing
Online Access:https://www.mdpi.com/1424-8220/20/23/6823

Internet

https://www.mdpi.com/1424-8220/20/23/6823

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