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Satellite Image Analysis: Clustering and Classification

  • Surekha Borra
  • Rohit Thanki
  • Nilanjan Dey

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Computational Intelligence book sub series (BRIEFSINTELL)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Surekha Borra, Rohit Thanki, Nilanjan Dey
    Pages 1-12
  3. Surekha Borra, Rohit Thanki, Nilanjan Dey
    Pages 13-29
  4. Surekha Borra, Rohit Thanki, Nilanjan Dey
    Pages 31-52
  5. Surekha Borra, Rohit Thanki, Nilanjan Dey
    Pages 53-81
  6. Surekha Borra, Rohit Thanki, Nilanjan Dey
    Pages 83-97

About this book

Introduction

Thanks to recent advances in sensors, communication and satellite technology, data storage, processing and networking capabilities, satellite image acquisition and mining are now on the rise. In turn, satellite images play a vital role in providing essential geographical information. Highly accurate automatic classification and decision support systems can facilitate the efforts of data analysts, reduce human error, and allow the rapid and rigorous analysis of land use and land cover information. Integrating Machine Learning (ML) technology with the human visual psychometric can help meet geologists’ demands for more efficient and higher-quality classification in real time. 

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.


Keywords

Clustering methods Classification techniques Computational intelligence Machine learning Satellite image analysis Supervised models Unsupervised models

Authors and affiliations

  • Surekha Borra
    • 1
  • Rohit Thanki
    • 2
  • Nilanjan Dey
    • 3
  1. 1.Department of Electronics and Communication EngineeringK.S. Institute of TechnologyBengaluruIndia
  2. 2.Faculty of Technology and Engineering, Department of ECEC. U. Shah UniversityWadhwan cityIndia
  3. 3.Department of Information TechnologyTechno India College of TechnologyKolkataIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-6424-2
  • Copyright Information The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-13-6423-5
  • Online ISBN 978-981-13-6424-2
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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