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Deep Learning for Hyperspectral Image Analysis and Classification

Linmi Tao, Atif Mughees
Springer Singapore
181.89 € · Hardcover

Remote sensing Hyperspectral image analysis Deep learning Stacked auto-encoder Deep belief network Segmented dbn Noise estimation Band categorization Hidden markov random field

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...

Deep Learning for Hyperspectral Image Analysis and Classification

Linmi Tao, Atif Mughees
Springer Singapore
171.19 € · eBook

Remote sensing Hyperspectral image analysis Deep learning Stacked auto-encoder Deep belief network Segmented dbn Noise estimation Band categorization Hidden markov random field

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...

Deep Learning for Hyperspectral Image Analysis and Classification

Linmi Tao, Atif Mughees
Springer Singapore
181.89 € · Paperback

Remote sensing Hyperspectral image analysis Deep learning Stacked auto-encoder Deep belief network Segmented dbn Noise estimation Band categorization Hidden markov random field

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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