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Springer Remote Sensing Image Classification in R (Springer Geography)

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Description
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.

Product Specifications
Brand
Springer
Format
hardcover
ASIN
9811380112
Category
Books > Subjects > Computing & Internet > Programming > Introduction to Programming
Domain
Amazon UK
Release Date
15 August 2019
Listed Since
29 March 2019

Barcode

No barcode data available

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