Remote sensing image classification in R /

Remote sensing image classification in R /

Saved in:

Bibliographic Details
Author / Creator:	Kamusoko, Courage, author.
Imprint:	Singapore : Springer, [2019]
Description:	1 online resource (xviii, 189 pages) : color illustrations
Language:	English
Series:	Springer geography Springer geography.
Subject:	Remote sensing. Image processing. Image processing. Remote sensing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11930743

Hidden Bibliographic Details
ISBN:	9789811380129 9811380120 9789811380112
Notes:	Includes bibliographical references and index. Online resource; title from digital title page (viewed on September 03, 2019).
Summary:	"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."--
Standard no.:	10.1007/978-981-13-8

Table of Contents:

Remote sensing digital image processing in R
Pre-processing
Image transformation
Image classification
Improving image classification.