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Remote Sensing Digital Image Analysis

Authors: Richards, John A.

  • Provides comprehensive treatment of entire spectrum of acquisition, analysis, and processing of remotely sensed data
  • Is revised and enhanced to reflect new developments in the field—CNN, big data, etc
  • Contains solved examples and exercises in each chapter for better understanding
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eBook $84.99
price for Mexico
  • Due: 22 de diciembre de 2021
  • ISBN 978-3-030-82327-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $109.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 24 de noviembre de 2021
  • ISBN 978-3-030-82326-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this Textbook

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data.  Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same.  As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing.

The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing.  The presentation level is for the mathematical non-specialist.  Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background.  

The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.


About the authors

John Richards has been active in remote sensing teaching and research for the past 40 years, mainly in image analysis and imaging radar. He is the author of four books, all published by Springer.  He is an electrical engineering graduate from the University of New South Wales, Australia, and a life Fellow of the IEEE.   He was the foundation director of the Centre for Remote Sensing at the University of New South Wales in the 1980s and has had a career that has taken him through teaching and research in remote sensing and engineering.  He has also served in senior academic administration including as dean of the College of Engineering and Computer Science and vice-president of the Australian National University.  He is an emeritus professor of both the Australian National University and the University of New South Wales.


Buy this book

eBook $84.99
price for Mexico
  • Due: 22 de diciembre de 2021
  • ISBN 978-3-030-82327-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $109.99
price for Mexico
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: 24 de noviembre de 2021
  • ISBN 978-3-030-82326-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Remote Sensing Digital Image Analysis
Authors
Copyright
2022
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-82327-6
DOI
10.1007/978-3-030-82327-6
Hardcover ISBN
978-3-030-82326-9
Edition Number
6
Number of Pages
XX, 572
Number of Illustrations
230 b/w illustrations, 45 illustrations in colour
Topics