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Synopsis
This book explores the world of remote sensing technology, offering comprehensive insights into its principles, data acquisition methods, advanced processing techniques, and diverse applications. It covers the basics of remote sensing such as the foundational principles and data acquisition techniques, image pre-processing, such as noise removal, radiometric corrections, and image fusion, and advanced classification techniques like machine learning algorithms including neural networks and support vector machines. Finally, it discusses disaster management and agriculture, demonstrating how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoring. Professionals, researchers, and students involved in environmental sciences, geography, urban planning, and disaster management will benefit from these topics. FEATURES: Explores cutting-edge advanced classification techniques like machine learning algorithms including neural networks and support vector machines Covers both the theoretical principles and also practical data acquisition techniques, image pre-processing, noise removal, radiometric corrections, and image fusion Demonstrates how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoring Includes companion files for downloading with full color images from the text
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About the Author
P. K. Garg holds a PhD in remote sensing (University of Bristol) and is a professor of civil engineering, specializing in geomatics engineering. He is a member of the advisory committee of CSSTEAP (Centre for Space Science and Technology Education in Asia and the Pacific).
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Remote Sensing: Theory and Applications
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Remote Sensing
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Paperback. Condition: New. This book explores the world of remote sensing technology, offering comprehensive insights into its principles, data acquisition methods, advanced processing techniques, and diverse applications. It covers the basics of remote sensing such as the foundational principles and data acquisition techniques, image pre-processing, such as noise removal, radiometric corrections, and image fusion, and advanced classification techniques like machine learning algorithms including neural networks and support vector machines. Finally, it discusses disaster management and agriculture, demonstrating how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoring. Professionals, researchers, and students involved in environmental sciences, geography, urban planning, and disaster management will benefit from these topics.Features:Explores cutting-edge advanced classification techniques like machine learning algorithms including neural networks and support vector machinesCovers both the theoretical principles and also practical data acquisition techniques, image pre-processing, noise removal, radiometric corrections, and image fusionDemonstrates how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoringIncludes companion files for downloading with full color images from the text. Seller Inventory # LU-9781683927488
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Remote Sensing: Theory and Applications
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Remote Sensing - Theory and Applications (eng)
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Remote Sensing
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the world of remote sensing technology, offering comprehensive insights into its principles, data acquisition methods, advanced processing techniques, and diverse applications. It covers the basics of remote sensing such as the foundational principles and data acquisition techniques, image pre-processing, such as noise removal, radiometric corrections, and image fusion, and advanced classification techniques like machine learning algorithms including neural networks and support vector machines. Finally, it discusses disaster management and agriculture, demonstrating how remote sensing methods are revolutionizing fields such as disaster response and agricultural monitoring. Professionals, researchers, and students involved in environmental sciences, geography, urban planning, and disaster management will benefit from these topics. 636 pp. Englisch. Seller Inventory # 9781683927488
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Remote Sensing
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