The integration of Radio Detection and Ranging (RADAR) remote sensing and Artificial Intelligence (AI) provides a platform for understanding various Earth's surface processes and their predictive analysis. This book offers state-of-the-art techniques and applications to address real-time challenges through AI-based RADAR remote sensing. Furthermore, it explores the potential applications of AI in emerging areas of remote sensing and image processing.

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Yes, you can access RADAR by Alessandro Vinciarelli,Sartajvir Singh,Narayan Vyas,Mona Abdelbaset Sadek Ali in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

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Year

eBook ISBN

Topic

Subtopic

Computer Science General

Index

Computer Science

Title Page
Copyright
Contents
Frontmatter
Contents
Integrating Sentinel-1 satellite data with machine learning for land use classification
A systematic review of deep learning techniques in microwave remote sensing: challenges, applications, and future directions
Fundamentals of active and passive microwave remote sensing: principles and applications
Comprehensive overview of active and passive microwave remote sensing satellite sensors
Essentials of RADAR remote sensing and AI integration
Fusion of scatterometer and optical remote sensing: enhanced classification and change detection
AI-powered urban infrastructure monitoring using RADAR-based remote sensing
Fusion of the optical and microwave images for cloud removal
Integrating AI in RADAR remote sensing: enhancing data processing, interpretation, and decision-making
Revolutionizing precision agriculture: the synergy of RADAR, Internet of things (IoT), and satellite technology
Integrating AI with RADAR remote sensing: applications in disaster mitigation, defense, and climate change
Computational techniques in RADAR remote sensing from a machine and deep learning perspective
Deep learning-based water body segmentation in SAR imagery: enhancing accuracy with CNN-U-Net and EfficientNet
Artificial intelligence in RADAR remote sensing: advances, challenges, and future prospects
Revolutionizing agricultural and environmental analytics with synthetic aperture radar (SAR): innovations, challenges, and future directions
Index
Index

About this book

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Table of contents