Dimensionality Reduction of Hyperspectral Imagery

Nabendu Chaki, Arati Paul

  • Springer

  • Date de publication : 2023-10-04

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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.

Détails
Auteur
Nabendu  Chaki , Arati  Paul
Marque
Springer
Collection
n.c
Parution
2023-10-04
Pages
116 pages
EAN papier
9783031426667
Langue
Anglais
Informations ebook
EAN PDF
9783031426674
Prix
93,08 €
En savoir plus
Nb pages copiables 1
Nb pages imprimables 11
Taille du fichier 9175 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
EAN EPUB
9783031426674
Prix
93,08 €
En savoir plus
Nb pages copiables 1
Nb pages imprimables 11
Taille du fichier 19436 Ko
Ce livre est accessible aux handicaps   Informations sur l'accessibilité
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Auteur(s) du livre


Defaut-Illustration Nabendu Chaki
Defaut-Illustration Arati Paul
Arati Paul is a Scientist in Regional Remote Sensing Centre - East, National Remote Sensing Centre, Indian Space Research Organisation. She has completed B.Tech, followed by M.Tech in computer science and Engineering. She has received her Ph.D. from University of Calcutta. Her area of work includes remote sensing, GIS, image processing and geospatial data analytics. She has more than 60 publications including research papers, book chapters and technical reports in her area of expertise. She is also involved in outreach activities of ISRO and delivered talks on several occasions in different workshops/ conferences and training programmes of the centre. 

Nabendu Chaki is a Professor in the Department Computer Science & Engineering, University of Calcutta, Kolkata, India.  He is sharing 7 international patents including 4 US patents. Besides editing more than 30 conference proceedings with Springer, Dr. Chaki has authored 7 text and research books and over 250 Scopus Indexed research papers in Journals and International conferences. He has served as a Visiting Professor in different places including Naval Postgraduate School, USA; Ca Foscari University, Italy and AGH University in Poland. He is the founder Chair of ACM Professional Chapter in Kolkata and served in that capacity for 3 years since January 2014. He was active during 2009-2015 towards developing several international standards in Software Engineering and Service Science as a Global (GD) member for ISO-IEC.

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