Overview
- Provides insights into pre-processing techniques for satellite image analysis
- Explores intelligent solutions, methods, and models for satellite image analysis
- Discusses the standards, challenges, recommendations, and the future of satellite image analysis
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (5 chapters)
Keywords
About this book
This book introduces readers to key concepts, methods and models for satellite image analysis; highlights state-of-the-art classification and clustering techniques; discusses recent developments and remaining challenges; and addresses various applications, making it a valuable asset for engineers, data analysts and researchers in the fields of geographic information systems and remote sensing engineering.
Authors and Affiliations
About the authors
Rohit Thanki earned his PhD in multibiometric system security using the compressive sensing theory and watermarking from CU Shah University, Gujarat, India, in 2017. His research interests include digital watermarking, the biometrics system, security, compressive sensing, pattern recognition, and image processing. He has published seven books, seven book chapters, and more than 25 research papers in refereed and indexed journals, and has participated in conferences at the national and international level. He currently serves as a reviewer for journals published by the Institute of Electrical and Electronics Engineers (IEEE), Elsevier, Taylor & Francis, Springer, and IGI Global.
Nilanjan Dey is an Assistant Professor at the Department of Information Technology, Techno India College of Technology, Kolkata, India. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and an associated Member of the University ofReading, London, UK. He has authored or edited more than 40 books with Elsevier, Wiley, CRC Press and Springer etc., and published more than 300 research articles. He is Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-inspired Computing; Advances in Ubiquitous Sensing Applications for Healthcare; and Intelligent Signal Processing and Data Analysis; as well as an Associated Editor for IEEE Access. His main research interests include medical imaging, machine learning, data mining etc. Recently, he was selected as one of the top 10 most published and cited academics in the field of Computer Science in India during the period of consideration 2015-17.
Bibliographic Information
Book Title: Satellite Image Analysis: Clustering and Classification
Authors: Surekha Borra, Rohit Thanki, Nilanjan Dey
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-13-6424-2
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-6423-5Published: 21 February 2019
eBook ISBN: 978-981-13-6424-2Published: 08 February 2019
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XVI, 97
Number of Illustrations: 31 b/w illustrations, 22 illustrations in colour
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks, Image Processing and Computer Vision