Fuzzy Machine Learning Algorithms for Remote Sensing Image Cl... - 9780367355715

CRC Press

Fuzzy Machine Learning Algorithms for Remote Sensing Image ClassificationAuthor(s): Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9780367355715, 978-0367355715\nSynopsis\nThis 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 [url] phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire.