Remote Sensing Image Classification in R

Inbunden, Engelska, 2019

1 919 kr

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This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing.

Produktinformation

Utgivningsdatum2019-08-15
Mått155 x 235 x 17 mm
Vikt483 g
FormatInbunden
SpråkEngelska
SerieSpringer Geography
Antal sidor189
FörlagSpringer Verlag, Singapore
ISBN9789811380112

Tillhör följande kategorier

Programmeringsböcker inom Data och it
Geografi inom Naturvetenskap och teknik

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.

“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)