Remote sensing image classification in R
Author(s)
Bibliographic Information
Remote sensing image classification in R
（Springer geography）
Springer, c2019
Available at / 2 libraries
-
No Libraries matched.
- Remove all filters.
Description and Table of Contents
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.
Table of Contents
Dedication.- Preface.- Acknowledgements.- Acronyms and Abbreviations.- Chapter 1. Remote sensing Digital Image Processing in R.- Chapter 2. Pre-processing.- Chapter 3. Image Transformation.- Chapter 4. Image Classification.- Chapter 5. Improving Image Classification.- Appendix
by "Nielsen BookData"