MACHINE LEARNING ALGORITHMS - DHARANI, MUNDLURU;SREENIVASULU, G
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Remote sensing is immensely useful for gathering data from Earth-surface objects without coming into direct contact with them. Multi-spectral satellite images are essential for data analysis in the fields of agriculture, regional planning, geology, meteorology, forestry, landscape, biodiversity conservation. Enhancement is the best method for extracting more information from a large dataset. The information increases the number of pixels that can effectively represent the image's information and display its spectral features. These values are maintaining the trade-off balance between spatial…mehr

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Produktbeschreibung
Remote sensing is immensely useful for gathering data from Earth-surface objects without coming into direct contact with them. Multi-spectral satellite images are essential for data analysis in the fields of agriculture, regional planning, geology, meteorology, forestry, landscape, biodiversity conservation. Enhancement is the best method for extracting more information from a large dataset. The information increases the number of pixels that can effectively represent the image's information and display its spectral features. These values are maintaining the trade-off balance between spatial and spectral values with dimensional reduction technique and Machine Learning algorithms.
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Autorenporträt
I, (Dr. M. DHARANI), heartfully express my gratitude to my research supervisor Dr. G. Sreenivasulu, Professor, Department of ECE, S.V.University College of Engineering. His advice, Scholarly guidance, Pragmatic approach and erudite discussions have enabled me to successfully complete this research.