Remote Sensing : Theory and Applications

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Remote Sensing : Theory and Applications

Garg, P.

ウェブストア価格 ¥16,407（本体¥14,916）
Mercury Learning & Information（2024/06発売）
外貨定価 US$ 89.99
ポイント 149pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 610 p.
言語 ENG
商品コード 9781683927488

Full 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 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

1: Basics of Remote Sensing
2: Electromagnetic Radiations and Interaction with the Atmosphere
3: Various Remote Sensing Sensors and Data Characteristics
4: Various Remote Sensing Platforms
5: Image Pre-processing Approaches
6: Image Classification
7: The State-of-the-Art Classification Techniques
8: Applications of Remote Sensing
9: Land Use and Land Cover Mapping and Modelling
10: Remote Sensing Platforms for Agricultural Applications
11: Disaster Monitoring and Management Using Remote Sensing Technology
12: Remote Sensing of Snow Cover
13: Feature/Object Extraction from Remote Sensing Algorithms
14: Applying Remote Sensing for a Smart City
15: The Future of Remote Sensing References
Index