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Land Cover Classification of Satellite Images using Texture and Entropy Features

Author Name: Sridhar Elangovan | Format: Paperback | Genre : Educational & Professional | Other Details

This Is a Research book of land cover classification of satellite images was done using texture end entropy features. This book explain the overview of land cover classification and brief literature survey of existing land cover classification methods done may many researches. This research book explains the Image Pre-Processing, feature extraction, feature selection, RGB to Gray Scale conversion and segmentation and also Local Binary Pattern and Entropy of image. This book is mainly used for beginners in land cover classification this book will give some idea about how to do a land cover classification.

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Sridhar Elangovan

Sridhar Elangovam is a young researcher. His broad area of research is Satelite Imagery under Digital Image Processing. He has received his B.C.A (2012), M.C.A (2015) and M.Phil (2017) in Computer Applications from Bharathiar University, Coimbatore. He has 3 years’ experience as Technical Assistant at Tamil Nadu Agricultural University and 1 year Experience as Teaching Assistant for under graduate students in the same University. His broad area of research is Remote Sensing Images under Image Processing. He has published his research work previously in IJARBEST journal. He is an YouTube lecturer, Graphics Designer and Tamil Poet writer. He has won “Kavithendral Virudhu” award during 2011, 2015 and 2017.

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