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Remote Sensing Image Classification in R (Hardcover, 1st ed. 2019)
Loot Price: R3,619
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Remote Sensing Image Classification in R (Hardcover, 1st ed. 2019)
Series: Springer Geography
Expected to ship within 12 - 17 working days
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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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