BOOKS - OS AND DB - Fuzzy Machine Learning Algorithms for Remote Sensing Image Classi...
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification - Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar 2020 PDF CRC Press BOOKS OS AND DB
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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
Author: Anil Kumar, Priyadarshi Upadhyay, A. Senthil Kumar
Year: 2020
Format: PDF
File size: 23.5 MB
Language: ENG

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. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc.

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