Remote Sensing Image Classification in R is popular PDF and ePub book, written by Courage Kamusoko in 2019-07-24, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Remote Sensing Image Classification in R can be Read Online from any device for your convenience.
Remote Sensing Image Classification in R Book PDF 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.
Detail Book of Remote Sensing Image Classification in R PDF
- Author : Courage Kamusoko
- Release : 24 July 2019
- Publisher : Springer
- ISBN : 9789811380129
- Genre : Technology & Engineering
- Total Page : 189 pages
- Language : English
- PDF File Size : 12,9 Mb
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