Training Methods of Multi-Label Prediction Classifiers for Hyperspectral Remote Sensing Images

Training Methods of Multi-Label Prediction Classifiers for Hyperspectral Remote Sensing Images

Hyperspectral remote sensing images, with their amalgamation of spectral richness and geometric precision, encapsulate intricate, non-linear information that poses significant challenges to traditional machine learning methodologies. Deep learning techniques, recognised for their superior representa...

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Bibliographic Details
Main Authors: Salma Haidar, José Oramas
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Remote Sensing
Subjects:
hyperspectral imaging
computer vision
deep learning
multi-label classification
two-component neural network
deep auto-encoder
Online Access:https://www.mdpi.com/2072-4292/15/24/5656

Internet

https://www.mdpi.com/2072-4292/15/24/5656

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