Spatial-Spectral BERT for Hyperspectral Image Classification

Spatial-Spectral BERT for Hyperspectral Image Classification

Several deep learning and transformer models have been recommended in previous research to deal with the classification of hyperspectral images (HSIs). Among them, one of the most innovative is the bidirectional encoder representation from transformers (BERT), which applies a distance-independent ap...

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Bibliographic Details
Main Authors: Mahmood Ashraf, Xichuan Zhou, Gemine Vivone, Lihui Chen, Rong Chen, Reza Seifi Majdard
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
BERT
multi-head self-attention
spatial-spectral features
convolutional neural network
hyperspectral imaging
classification
Online Access:https://www.mdpi.com/2072-4292/16/3/539

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https://www.mdpi.com/2072-4292/16/3/539

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