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Springer Geography

Remote Sensing Image Classification in R

Authors: Kamusoko, Courage

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  • Is a one-stop reference book on remote sensing image processing and classification, machine learning and R
  • Provides a desktop step-by-step reference tutorial, which helps readers to learn quickly
  • Is based on the free and open source software R
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書籍の購入

イーブック ¥13,727
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8012-9
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ハードカバー ¥17,159
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8011-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
この書籍について

This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image processing and classification.

This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing. Chapter 3 focuses on image transformation, and chapter 4 addresses image classification. Lastly, chapter 5 deals with improving image classification.

R is advantageous in that it is open source software, available free of charge and includes several useful features that are not available in commercial software packages. This book benefits all undergraduate and graduate students, researchers, university teachers and other remote- sensing practitioners interested in the practical implementation of remote sensing in R.

著者について

Courage Kamusoko is a senior researcher at the Asia Air Survey, Japan. His expertise includes land use/cover change modeling, and the design and implementation of geospatial database management systems. His primary research interests are the analysis of remotely sensed images, land use/cover modeling, and machine learning. In addition to his focus on geospatial research and consultancy, he has also taught practical machine learning for geospatial analysis and modeling.

Table of contents (5 chapters)

Table of contents (5 chapters)

書籍の購入

イーブック ¥13,727
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8012-9
  • ウォーターマーク付、 DRMフリー
  • ファイル形式: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
ハードカバー ¥17,159
価格の適用国: Japan (日本円価格は個人のお客様のみ有効) (小計)
  • ISBN 978-981-13-8011-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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書誌情報

Bibliographic Information
Book Title
Remote Sensing Image Classification in R
Authors
Series Title
Springer Geography
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
イーブック ISBN
978-981-13-8012-9
DOI
10.1007/978-981-13-8012-9
ハードカバー ISBN
978-981-13-8011-2
Series ISSN
2194-315X
Edition Number
1
Number of Pages
XVIII, 189
Number of Illustrations
306 b/w illustrations, 53 illustrations in colour
Topics