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Big Data for Remote Sensing Visualization Analysis and Interpretation,Nilanjan Dey • Chintan Bhatt。 2019.
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NilanjanDey· ChintanBhatt
AmiraS. Ashour Editors
Big Data for
Remote Sensing:
Visualization,
Analysis and
Interpretation
Digital Earth and Smart Earth
Big Data for Remote Sensing: Visualization,
Analysis and Interpretation
Nilanjan Dey
•
Chintan Bhatt
Amira S. Ashour
Editors
Big Data for Remote Sensing:
Visualization, Analysis
and Interpretation
Digital Earth and Smart Earth
123
Editors
Nilanjan Dey
Department of Information Technology
Techno India College of Technology
Kolkata, West Bengal
India
Chintan Bhatt
Charotar University of Science
and Technology
Changa, Gujarat
India
Amira S. Ashour
Department of Electronics and Electrical
Communications Engineering, Faculty
of Engineering
Tanta University
Tanta
Egypt
ISBN 978-3-319-89922-0 ISBN 978-3-319-89923-7 (eBook)
https://doi.org/10.1007/978-3-319-89923-7
Library of Congress Control Number: 2018941536
© Springer International Publishing AG, part of Springer Nature 2019
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part
of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations,
recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission
or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar
methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this
publication does not imply, even in the absence of a specific statement, that such names are exempt from
the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this
book are believed to be true and accurate at the date of publication. Neither the publisher nor the
authors or the editors give a warranty, express or implied, with respect to the material contained herein or
for any errors or omissions that may have been made. The publisher remains neutral with regard to
jurisdictional claims in published maps and institutional affiliations.
Printed on acid-free paper
This Springer imprint is published by the registered company Springer International Publishing AG
part of Springer Nature
The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Foreword
In this digital era, the size of the data involved in countless applications of our
society has been increased substantially. Therefore, new computational methods,
algorithms, and infrastructures are highly demanded in order to handle such sets of
big data more efficiently, mainly in numerous real-time applications, requiring less
powerful computational resources, so can be processed by common computational
solutions.
Among the various areas where big data sets have become common, the ones
related to Remote Sensing and information and communication technology are
foremost, since the datasets involved have reached huge dimensions, which makes
exceptionally complex their visualization, analysis, and interpretation. Therefore,
this book assumes imperative and timely significance for these areas by presenting,
discussing, and suggesting applications, infrastructures, methods, and techniques to
overcome the present drawbacks. Five chapters are included in this book addressing
issues of big data in e-health, aerial and satellite imagery, many-particle systems,
earth science, and Remote Sensing.
The three editors of this book are well-known academics and researchers:
Dr. Nilanjan Dey is Professor at Techno India College of Technology, is editor of
several international journals, editor of various books published by renowned
publishers, is co-author of numerous articles published in the most respectable
journals and conferences, has supervised several M.Sc. and Ph.D. theses and
organized many scientific events. Dr. Dey’s research interests include medical
imaging, soft computing, data mining, machine learning, rough set, mathematical
modeling and computer simulation, biomedical systems, robotics, information
hiding and security. Dr. Chintan Bhatt is Assistant Professor at Charotar University
of Science and Technology, is co-author of several articles published in journals
and conferences, has organized speci al sessions devoted to Internet of Things and
big data, and his research topics are: Data Mining, Networking, Big Data, Internet
of Things and Mobile Computing. Dr. Amira S. Ashour is Professor and Vice Cha ir
of Computer Engineering Department, Computers and Information Technology
College, Taif University, is editor of journals and of books published by interna-
tional publishers, and co-author of numerous articles published in the most
v
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