Remote Sensing Image Classification in R

Remote Sensing Image Classification in R Front Cover
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168 pages

Book Description

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

This book is divided into five chapters. Chapter 1 introduces remote sensing 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 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.

Book Details

  • Title: Remote Sensing Image Classification in R
  • Author:
  • Length: 168 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-11-24
  • ISBN-10: 9811380112
  • ISBN-13: 9789811380112
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