Remote Sensing Image Classification in R

Courage Kamusoko is a senior researcher at the Asia Air Survey, Japan. His expertise includes land use/cover change modeling, and the design and implementation of geospatial database management systems. His primary research interests are the analysis of remotely sensed images, land use/cover modeling, and machine learning. In addition to his focus on geospatial research and consultancy, he has also taught practical machine learning for geospatial analysis and modeling.

• Dedication.- Preface.- Acknowledgements.- Acronyms and Abbreviations.- Chapter 1. Remote sensing Digital Image Processing in R.- Chapter 2. Pre-processing.- Chapter 3. Image Transformation,etc.

“The book provides a hands-on approach to remotely sensed image classification, covering not only classification techniques but also some of the required prior/posterior steps, for example, data preparation, feature extraction, dataset analysis, model tuning, and performance assessment. The book is like a tutorial, with sample code provided throughout the different chapters to offer the reader a practical perspective with R. … This short book remains the first one to address remote sensing image classification in R.” (Sebastien Lefevre,Computing Reviews, July 12, 2021)