Téléchargez le livre : Dimensionality Reduction of Hyperspectral Imagery

Dimensionality Reduction of Hyperspectral Imagery

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Éditeur :

Springer


Paru le : 2023-10-04

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Description
This book provides information about different types of dimensionality reduction (DR) methods and their effectiveness in hyperspectral data processing. The authors first explain how hyperspectral imagery (HSI) plays an important role in remote sensing due to its high spectral resolution that enables better identification of different materials on the earth’s surface. The authors go on to describe potential challenges due to HSI being acquired in hundreds of narrow and contiguous bands, represented as a 3-dimensional image cube, often causing the bands to contain information redundancy. They then show how processing a large number of bands adds challenges in terms of computation complexity that reduces efficiency. The authors then present how DR is an essential step in hyperspectral data analysis to solve these issues. Overall, the book helps readers understand the DR processes and its impact in effective HSI analysis.
Pages
116 pages
Collection
n.c
Parution
2023-10-04
Marque
Springer
EAN papier
9783031426667
EAN PDF
9783031426674
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
9175 Ko
Prix
93,08 €
EAN EPUB
9783031426674
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
19436 Ko
Prix
93,08 €

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