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portada Deep Learning for Hyperspectral Image Analysis and Classification
Type
Physical Book
Publisher
Language
English
Pages
207
Format
Paperback
Dimensions
23.4 x 15.6 x 1.2 cm
Weight
0.31 kg.
ISBN13
9789813344228

Deep Learning for Hyperspectral Image Analysis and Classification

Linmi Tao (Author) · Atif Mughees (Author) · Springer · Paperback

Deep Learning for Hyperspectral Image Analysis and Classification - Tao, Linmi ; Mughees, Atif

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Synopsis "Deep Learning for Hyperspectral Image Analysis and Classification "

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.

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