Inbunden, Engelska, 2019
Del i serien Springer Geography
Remote Sensing Image Classification in R
1969 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2019-08-15
- Mått: 155 x 235 x 18 mm
- Vikt: 448 g
- Format: Inbunden
- Språk: Engelska
- Serie: Springer Geography
- Antal sidor: 189
- Förlag: Springer Verlag, Singapore
- ISBN: 9789811380112
Utforska kategorier
Mer information
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.
Recensioner i media
“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)
Butikslager
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