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Deep Learning for Hyperspectral Image Analysis and Classification

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise factor-based formulation is devised for HSI noise detection and band categorization. The method to characterize the bands along with the noise estimation of HSIs...

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Main Authors: Tao, Linmi. (Author, http://id.loc.gov/vocabulary/relators/aut), Mughees, Atif. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Series:Engineering Applications of Computational Methods, 5
Subjects:
Machine learning.
Artificial intelligence.
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Machine Learning.
Artificial Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Image Processing and Computer Vision.
Signal, Image and Speech Processing.
Online Access:https://doi.org/10.1007/978-981-33-4420-4

Internet

https://doi.org/10.1007/978-981-33-4420-4

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