Narayan Vyas, an academician at Vivekananda Global University, specializes in computer science, focusing on IoT and Mobile App Development. He has trained over 1000 students globally and published extensively in Scopus journals. An active IEEE member, his research interests include Remote Sensing, Machine Learning, and Computer Vision.
RADAR: Remote Sensing Data Analysis with Artificial Intelligence
Price: 164.95 € | Publisher: De Gruyter
Editors: Alessandro Vinciarelli, Sartajvir Singh, Narayan Vyas, Mona Abdelbaset Sadek Ali
Projected Release Date: 21 July 2025 | Copyright: © 2025 De Gruyter | Language: English | Categories: Remote Sensing, Artificial Intelligence, Microwave Sensing, Radar, Geospatial Analysis
ISBN: Coming Soon
RADAR: Remote Sensing Data Analysis with Artificial Intelligence provides comprehensive insights into how AI is transforming RADAR-based remote sensing for a wide range of geospatial applications. This volume brings together emerging techniques, satellite fusion strategies, and AI models tailored for real-world decision-making in agriculture, disaster management, urban monitoring, and environmental analytics.
Preorder NowChapter 1: Integrating Sentinel-1 satellite data with machine learning for land use classification
Authors: Narayan Vyas
Chapter 2: A systematic review of deep learning techniques in microwave remote sensing: challenges, applications, and future directions
Authors: Amit Sharma, Sarita Naruka, Gowri Choudhary
Chapter 3: Fundamentals of active and passive microwave remote sensing: principles and applications
Authors: Yash Mahajan, Ajay Pal Singh, Inderjeet Singh, Suvigya Yadav, Aaryan Aneja, Mohd. Vaqui
Chapter 4: Comprehensive overview of active and passive microwave remote sensing satellite sensors
Authors: Nitin Arora, Sakshi, Kuldeep Kumar, Abdullah Alzahrani
Chapter 5: Essentials of RADAR remote sensing and AI integration
Authors: Syna, Hardik Dhiman
Chapter 6: Fusion of scatterometer and optical remote sensing: enhanced classification and change detection
Authors: Rajinder Kaur, Sartajvir Singh, Ganesh Kumar Sethi
Chapter 7: AI-powered urban infrastructure monitoring using RADAR-based remote sensing
Authors: Inderjeet Singh, Ajay Pal Singh, Yash Mahajan, Eakansh, Devansh Saxena
Chapter 8: Fusion of the optical and microwave images for cloud removal
Authors: Bhavneet Kaur, Raman Maini, Sartajvir Singh
Chapter 9: Integrating AI in RADAR remote sensing: enhancing data processing, interpretation, and decision-making
Authors: Dankan Gowda V., V. Nuthan Prasad, Christian Rafael Quevedo Lezama, Srinivas D., Prasanna Kumar Lakineni
Chapter 10: Revolutionizing precision agriculture: the synergy of RADAR, Internet of Things (IoT), and satellite technology
Authors: Ashutosh Pagrotra
Chapter 11: Integrating AI with RADAR remote sensing: applications in disaster mitigation, defense, and climate change
Authors: Hardik Dhiman, Syna
Chapter 12: Computational techniques in RADAR remote sensing from a machine and deep learning perspective
Authors: Aditya Vardhan, Amarjeet Singh Chauhan, Sanjay Saini, Akshay Jhingran
Chapter 13: Deep learning-based water body segmentation in SAR imagery: enhancing accuracy with CNN-U-Net and EfficientNet
Authors: Suresh Devaraj, Kalel Ahamed A., Dileep Kumar Gupta, Kaliraj S.
Chapter 14: Artificial intelligence in RADAR remote sensing: advances, challenges, and future prospects
Authors: Dankan Gowda V., P. Arockia Mary, Christian Rafael Quevedo Lezama, Madan Mohanrao Jagtap, Sampathirao Suneetha
Chapter 15: Revolutionizing agricultural and environmental analytics with synthetic aperture radar (SAR): innovations, challenges, and future directions
Authors: Neha Bhati, Narayan Vyas, Rajesh Yadav, Rakesh Sharma, Koushik Sundar
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