Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

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 based learning methods including applications for preparing land cover classification outputs from actual satellite data. All algorithms are supported by in-house developed tool as SMIC. Read More

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 based learning methods including applications for preparing land cover classification outputs from actual satellite data. All algorithms are supported by in-house developed tool as SMIC. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $36.85 (Expires Dec 04, 2024) 365 Day Rental: $43.55 (Expires Jun 07, 2025) Buy eBook Lifetime Access: $66.99 Title: Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification by Anil Kumar; A. Senthil Kumar; Priyadarshi Upadhyay Publisher: Taylor & Francis Print ISBN: 9780367355715, 036735571X eText ISBN: 9781000091540 Edition: 2020 1st edition Format: EPUB eBook	$36.85 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ