A Deep Spectral–Spatial Residual Attention Network for Hyperspectral Image Classification

In recent years, deep learning algorithms, particularly convolutional neural networks, have significantly improved the performance of the hyperspectral image (HSI) classification. However, due to the high dimensionality of HSI and limited training samples, the deep neural network causes model overfi...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Koushikey Chhapariya, Krishna Mohan Buddhiraju, Anil Kumar
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Attention network convolutional neural network (CNN) deep learning framework hyperspectral image (HSI) classification remote sensing residual network
Online Access:	https://ieeexplore.ieee.org/document/10401954/