Minimum Noise Fraction and Long Short-Term Memory Model for Hyperspectral Imaging

Abstract In recent years, deep learning techniques have presented a major role in hyperspectral image (HSI) classification. Most commonly Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) has greatly advanced the accuracy of hyperspectral image classification, making it powerful t...

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Bibliografiske detaljer

Principais autores:	Satyabrata Dash, Sujata Chakravarty, Nimay Chandra Giri, Ephraim Bonah Agyekum, Kareem M. AboRas
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2024-01-01
Serier:	International Journal of Computational Intelligence Systems
Fag:	Hyperspectral imaging K-Nearest neighbour support vector machine (SVM) Convolutional neural network (CNN) K-Nearest neighbour algorithm (KNN) Principal component analysis (PCA) Minimum noise fraction (MNF)
Online adgang:	https://doi.org/10.1007/s44196-023-00370-y
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