Linmi Tao

(Author)

Deep Learning for Hyperspectral Image Analysis and Classification (2021)Hardcover - 2021, 21 February 2021

Deep Learning for Hyperspectral Image Analysis and Classification (2021)
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Part of Series
Engineering Applications of Computational Methods
Print Length
207 pages
Language
English
Publisher
Springer
Date Published
21 Feb 2021
ISBN-10
9813344199
ISBN-13
9789813344198

Description

Introduction.- Hyperspectral Imaging System.- Classification Techniques for HSI.- Preprocessing: Noise Reduction/ Band Categorization for HSI.- Spatial Feature Extraction Using Segmentation.- Multiple Deep learning models for feature extraction in classification.- Deep learning for merging spatial and spectral information in classification.- Sparse cording for Hyperspectral Data.- Classification Applications of HSI classification.- Conclusion.

Product Details

Authors:
Linmi TaoAtif Mughees
Book Edition:
2021
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
21 February 2021
Dimensions:
23.39 x 15.6 x 1.42 cm
ISBN-10:
9813344199
ISBN-13:
9789813344198
Language:
English
Location:
Singapore
Pages:
207
Publisher:
Weight:
485.34 gm

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