Advances in Aerial Sensing and Imaging (eBook)

Sandeep Kumar, Nageswara Rao Moparthi, Abhishek Bhola, Ravinder Kaur, A. Senthil, K.M.V.V. Prasad (Herausgeber)

eBook Download: PDF

2024
John Wiley & Sons (Verlag)
978-1-394-17550-5 (ISBN)

Infos

Advances in Aerial Sensing and Imaging This groundbreaking book is a comprehensive guide to the technology found in the complex field of aerial sensing and imaging, and the real-world challenges that stem from its growing significance and demand. The advent of unmanned aerial vehicles (UAVs), or drones, along with advancements in sensor technology and image processing techniques, has further enhanced the capabilities and applications of aerial sensing and imaging. These developments have opened up new research, innovation, and exploration avenues. Aerial sensing and imaging have rapidly evolved over the past few decades and have revolutionized several fields, including land cover and usage prediction, crop and livestock management, road accident monitoring, poverty estimation, defense, agriculture, forest fire detection, UAV security issues, and open parking management. This book provides a comprehensive understanding and knowledge of the underlying technology and its practical applications in different domains. Audience Computer science and artificial intelligence researchers working in the fields of aerial sensing and imaging, as well as professionals working in industries such as agriculture, geology, surveying, urban planning, disaster response, etc; this book provides them with practical guidance and instruction on how to apply aerial sensing and imaging for various purposes and stay up-to-date with the latest developments in the domain.

Autor

Sandeep Kumar, PhD, is a professor in the Department of Computer Science and Engineering, K L Deemed to be University, Vijayawada, Andhra Pradesh, India. He has been granted six patents and successfully filed another ten. He has published more than 100 research papers in various national and international journals and proceedings of reputed national and international conferences. Nageswara Rao Moparthi, PhD, is a professor at KL University in the Department of Computer and Engineering. He has 13 years of IT industry exposure with major MNC's and seven years of teaching research experience. He has published 25 articles in reputed Scopus and SCIE/ESCI international journals. Abhishek Bhola, PhD, is an associate professor in the Department of Computer Science and Engineering at K L Deemed to be University, Vijayawada, Andhra Pradesh, India. He has more than seven years of experience in academics and research. Additionally, he has published several research papers in various international journals and conferences. Ravinder Kaur, PhD, is an assistant professor in the Department of Computer Science and Engineering (CSE) at the University Institute of Engineering, Chandigarh University, Punjab, India. She has published research papers in various renowned international conferences and SCI-indexed journals. A. Senthil, PhD, is a professor in the Department of Computer Science and Engineering, KLEF Deemed to be University, A.P., India. He has been in teaching and research for the past 21 years, working as a Professor, Head of Department, and Associate Dean in leading institutions. He has also served as an ABET-USA program evaluator for the Computing Accreditation Commission (CAC) for the last four years. K.M.V.V. Prasad, PhD, is an associate professor in the Department of Electronics and Telecommunications, Symbiosis International (Deemed University), Pune, India, with eight years of teaching experience. He has authored and co-authored many papers in international journals and both national and international conferences.

Produkt-Details

• Erscheint lt. Verlag: 31.1.2024
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Schlagworte: aerial image • Agriculture • Agriculture & Ecology • Agriculture Management • Artificial Intelligence • Automatic Surveillance for Smart City • Computer Science • disaster management • emergency management • forestry management • Human-Computer interaction • implementation • Informatik • Katastrophenschutz • Künstliche Intelligenz • Landwirtschaft • Landwirtschaft u. Ökologie • Luftbild • machine learning • Object classification • Object detection • Performance Improvement • Real-Time Application • security management • Sicherheitsmanagement • Theory and Concepts • traffic control
• ISBN-10: 1-394-17550-7 / 1394175507
• ISBN-13: 978-1-394-17550-5 / 9781394175505