Название: Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
Автор: Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar
Издательство: CRC Press
Год: 2020
Формат: True PDF
Страниц: 220
Размер: 23.5 Mb
Язык: English
This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included.
Автор: Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar
Издательство: CRC Press
Год: 2020
Формат: True PDF
Страниц: 220
Размер: 23.5 Mb
Язык: English
This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included.