Remote Sensing: Theory and Applications
by 作者: P. K. Garg PhD (Author)
Publisher Finelybook 出版社: Mercury Learning and Information
Edition: First Edition
Publication Date 出版日期: 2024-05-22
Language 语言: English
Pages 页数: 610 pages
ISBN-10 书号: 1683927486
ISBN-13 书号: 9781683927488
Book Description
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 sensingsuch 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
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).
