Remote Sensing Image Classification in R (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Springer Geography
Release date:	August 2019
First published:	2019
Authors:	Courage Kamusoko
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	189
Edition:	1st ed. 2019
ISBN-13:	978-981-13-8011-2
Categories:	Books > Computing & IT > Computer programming > General Books > Earth & environment > Geography > Physical geography > General Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS) Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing Promotions
LSN:	981-13-8011-2
Barcode:	9789811380112

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