Deep neural networks-based relevant latent representation learning for hyperspectral image classification

Title
Deep neural networks-based relevant latent representation learning for hyperspectral image classification
Authors
Keywords
Deep learning, Representation learning, Hyperspectral image classification, Feature extraction
Journal
PATTERN RECOGNITION
Volume 121, Issue -, Pages 108224
Publisher
Elsevier BV
Online
2021-08-03
DOI
10.1016/j.patcog.2021.108224

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started