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

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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Satyabrata Dash, Sujata Chakravarty, Nimay Chandra Giri, Ephraim Bonah Agyekum, Kareem M. AboRas
Format: Artykuł
Język:English
Wydane: Springer 2024-01-01
Seria:International Journal of Computational Intelligence Systems
Hasła przedmiotowe:
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)
Dostęp online:https://doi.org/10.1007/s44196-023-00370-y

Internet

https://doi.org/10.1007/s44196-023-00370-y

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