Remote Sensing Image Classification in R

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. Front Matter ....Pages i-xviii Remote Sensing Digital Image Processing in R (Courage Kamusoko)....Pages 1-24 Pre-processing (Courage Kamusoko)....Pages 25-66 Image Transformation (Courage Kamusoko)....Pages 67-79 Image Classification (Courage Kamusoko)....Pages 81-153 Improving Image Classification (Courage Kamusoko)....Pages 155-181 Back Matter ....Pages 183-189