RADAR : Remote Sensing Data Analysis with Artificial Intelligence
Language: English
Published by De Gruyter Jul 2025, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 190.31
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Add to basketItem description from seller
Neuware - 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.
Seller Inventory # 9783111572611
- Title
- RADAR : Remote Sensing Data Analysis with Artificial Intelligence
- Author
- Alessandro Vinciarelli
- Publisher
- De Gruyter Jul 2025
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3111572617
- ISBN 13
- 9783111572611
- Item weight
- 570 grams
- Dimensions
- 250x175x20 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Alessandro Vinciarelli
Dr. Alessandro Vinciarelli is a Full Professor at the University of Glasgow, affiliated with both the School of Computing Science and the Institute of Neuroscience and Psychology. As a member of the Social AI group, he collaborates with Tanaya Guha, Mary Ellen Foster, Mathieu Chollet, and Marwa Mahmoud. His primary research interest lies in Social Signal Processing (SSP), focusing on the analysis and synthesis of nonverbal behavior, such as facial expressions, gestures, and vocalizations in human-human and human-machine interactions. His work aims to infer psychological constructs like personality, conflict, and social roles from these cues. He currently leads significant projects, including the UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents (SOCIAL) and the SONICOM project, which explores non-verbal communication in AR/VR environments. Previously, he coordinated the Social Signal Processing Network and has served as the principal investigator for over ten national projects in Switzerland and the UK. Additionally, he is a co-founder of Klewel, a knowledge management company, and acts as a scientific advisor for Substrata.
Dr. Sartajvir Singh
Dr. Sartajvir Singh is working as Associate Director and Professor (University Institute of Engineering) at Chandigarh University, Punjab, India. He is also practising as Regd. Indian Patent Agent (IN/PA 5806). He has more than 10 years of experience in academics, research and administration. Previously, he has worked as Head of Department (Electronics and Communication Engineering) and Assistant Director (Intellectual Property Rights and Consultancy Cell) at Chitkara University, Himachal Pradesh, India. He has been awarded the Teacher Associateship for Research Excellence (TARE) Fellowship and International Travel Support (ITS) by the Science and Engineering Research Board (SERB), Govt. of India in the years 2019 and 2021, respectively. His researchinterests include satellite sensors, remote sensing, and digital image processing. He authored many SCI-indexed articles, and indexed book chapters and holds inventions. He is IEEE Senior Member and active member of various International/National societies such as IEEE Young Professional, IEEE Geosciences and Remote Sensing Society (GRSS), IEEE Sensors Council, European Union of Geosciences (EGU), International Society of Photogrammetry and Remote Sensing (ISPRS), Indian Society of Remote Sensing (ISRS), Indian Society of Technical Education (ISTE), and Himalayan Geology.
Narayan Vyas
Narayan Vyas is an Assistant Professor in the Department of Computer Science and Application at Vivekananda Global University, Jaipur, India, where he is actively involved in research and development in computer science. He qualified for the NTA UGC NET & JRF on his first attempt, showcasing his academic excellence. He has extensive knowledge of the Internet of Things and Mobile Application Development and has provided training to students worldwide. He has published numerous articles in reputed, peer-reviewed national and international Scopus-indexed conferences and journals. His research areas include Remote Sensing, the Internet of Things, Machine Learning, Deep Learning, and Computer Vision. He is an IEEE member and an active member of various international and national societies, such as IEEE Young Professionals, the Indian Society of Remote Sensing (ISRS), the IEEE Geosciences and Remote Sensing Society (GRSS), the IEEE Sensors Council, ACM, and the International Society of Photogrammetry and Remote Sensing (ISPRS). He also received the International Distinguished Young Researcher Award from the ASET Journal of Management Science. He has edited over 12 books with various reputable publishers, including Wiley, De Gruyter, Apple Academic Press, and IGI Global.
Dr. Mona Abdelbaset Sadek Ali
Dr. Mona Abdelbaset Sadek Ali is an Associate Professorwith a rich background in Computer Science, focusing on the intersections of deep learning, medical diagnosis, and pattern recognition. Throughout her academic career, she has authored over 17 publications in SCI journals and several papers in Scopus-indexed journals, demonstrating her prolific contribution to research. Her work spans a range of applications, from image and video processing technologies, including systems for iris recognition, landmine detection, and video shot segmentation, to innovative projects in mobile computing and social network analysis. Dr. Mona completed her PhD in Computer Science at Cardiff University's School of Computer Science & Informatics, where her research delved into the use of pervasive computing to extract social networks within organizational settings. She earned her MSc and BSc degrees from Cairo University, excelling in projects from video processing to advanced pattern recognition.
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