Deep learning for hyperspectral image analysis and classification

Deep learning for hyperspectral image analysis and classification / Linmi Tao, Atif Mighees.

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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Bibliographic Details
Main Authors: Tao, Linmi (Author), Mughees, Atif (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2021]
Series:Engineering applications of computational methods ; 5.
Subjects:
Hyperspectral imaging > Data processing.
Machine learning.
Image processing > Digital techniques.
Automatic classification.
digital imaging.
Automatic classification
Image processing > Digital techniques
Machine learning
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