Remote Sensing Image Classification in R / / by Courage Kamusoko
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| Autore: |
Kamusoko Courage
|
| Titolo: |
Remote Sensing Image Classification in R / / by Courage Kamusoko
|
| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Edizione: | 1st ed. 2019. |
| Descrizione fisica: | 1 online resource (201 pages) |
| Disciplina: | 004 |
| Soggetto topico: | Remote sensing |
| Environmental geography | |
| Computer programming | |
| R (Computer program language) | |
| Remote Sensing/Photogrammetry | |
| Environmental Geography | |
| Programming Techniques | |
| Nota di contenuto: | Dedication -- Preface -- Acknowledgements -- Acronyms and Abbreviations -- Chapter 1. Remote sensing Digital Image Processing in R -- Chapter 2. Pre-processing -- Chapter 3. Image Transformation,etc. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Remote Sensing Image Classification in R |
| ISBN: | 981-13-8012-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910350328803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer Geography, . 2194-315X