Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806). So far, he has filed 58 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 72 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 7 books with publishers like Wiley, De Gruyter, Bentham, Elsevier, CRC, and Apple Academic Press.
RADAR: Remote Sensing Data Analysis with Artificial Intelligence
Publisher: De Gruyter
Editors: Alessandro Vinciarelli, Sartajvir Singh, Narayan Vyas, Mona Abdelbaset Sadek Ali
This book explores the integration of RADAR remote sensing with AI techniques. It covers the evolution of RADAR missions, fundamentals of microwave remote sensing, and AI-enhanced applications. Topics include big data analysis, machine learning algorithms, and the fusion of SAR and optical remote sensing for better classification and change detection. Emerging tools like IoT and deep learning for SAR image interpretation are highlighted, along with AI-enabled RADAR applications in urban monitoring, agriculture, and disaster management, emphasizing future trends and impacts.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 30 August 2024 |
| Abstract Acceptance Notification | 30 September 2024 |
| Full Chapter Submission Deadline | 30 October 2024 |
| Chapter Acceptance Notification | 30 November 2024 |
| Projected Book Release Date | June 2025 |
| Important Guidelines | |
|---|---|
| Citation Style | HARVARD |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Text Style | 11 pt Times New Roman, 1.5 line spacing |
| Headings | 3 numbered headings (e.g. 1, 1.1, 1.1.1), one unnumbered heading |
| Figures | High-quality, original figures, 300 dpi |
Chapter 1: Introduction to RADAR Remote Sensing and AI
Chapter 2: Evolution of various RADAR missions and sensors
Chapter 3: Fundamentals of active and passive microwave remote sensing
Chapter 4: Potential applications of RADAR remote sensing with AI
Chapter 5: Big data analysis of RADAR remote sensing: Challenges and Solutions
Chapter 6: Advanced Machine/Deep Learning algorithms for RADAR remote sensing
Chapter 7: Fusion of SAR/Scatterometer and Optical Remote Sensing: Enhanced Classification and Change Detection
Chapter 8: Role of emerging tool and technologies like IoT in enhancing RADAR capabilities
Chapter 9: Deep Learning in SAR: Enhancing Image Interpretation
Chapter 10: Emerging Trends in AI for RADAR remote sensing
Chapter 11: Urban Infrastructure Monitoring with AI and RADAR-based Remote Sensing
Chapter 12: Agricultural Insights: SAR for Crop Yield Estimation and Soil Monitoring
Chapter 13: Disaster Management: Leveraging SAR for Environmental Sustainability
Chapter 14: Emerging AI-enabled RADAR Applications in real-time scenarios
Chapter 15: Future Scope of RADAR Remote Sensing with AI
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