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Remote sensing image classification in R

Kamusoko, Courage.

Remote sensing image classification in R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Remote sensing image classification in Rby Courage Kamusoko.
Author:	Kamusoko, Courage.
Published:	Singapore :Springer Singapore :2019.
Description:	xviii, 189 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Remote sensing.
Online resource:	https://doi.org/10.1007/978-981-13-8012-9
ISBN:	9789811380129$q(electronic bk.)

Remote sensing image classification in R
Kamusoko, Courage.

Remote sensing image classification in R[electronic resource] /by Courage Kamusoko. - Singapore :Springer Singapore :2019. - xviii, 189 p. :ill., digital ;24 cm. - Springer geography,2194-315X. - Springer geography..

Dedication -- Preface -- Acknowledgements -- Acronyms and Abbreviations -- Chapter 1. Remote sensing Digital Image Processing in R -- Chapter 2. Pre-processing -- Chapter 3. Image Transformation,etc.

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.

ISBN: 9789811380129$q(electronic bk.)

Standard No.: 10.1007/978-981-13-8012-9doiSubjects--Topical Terms:

195948
Remote sensing.

LC Class. No.: G70.4 / .K368 2019

Dewey Class. No.: 621.3678

Remote sensing image classification in R
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520 $a 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.
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