Artificial Intelligence and Machine Learning in Satellite Data Processing and Services / Lecture Notes in Electrical Engineering Bd.970 (PDF)
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This book, Artificial Intelligence and Machine Learning in Satellite: Data Processing and Services, presents the selected proceedings of the International Conference on Small Satellites (ICSS 2022) that aims to provide an opportunity for academicians, scientists, researchers, and industry experts, engaged in teaching, research, and development on satellite data processing and its services by employing advanced artificial intelligence-based machine learning techniques. This book covers the application of artificial intelligence and machine learning techniques in various domains of earth observations like natural resources and environmental management, water resources, urban and rural development, climate change, and other contemporary subjects. The book will surely be a valuable asset for beginners, researchers, and professionals working in satellite data processing and services using artificial intelligence and machine learning approaches.
Dr. Raj Setia is a senior scientist at Punjab Remote Sensing Centre, Ludhiana, India. He did his Ph.D. and Postdoc from the University of Adelaide, Australia. He, for the first time in the world, modified a carbon model for salt-affected soils. He is working on the application of remote sensing and geographic information systems (GIS) in agriculture and soils, water quality, and modeling. He has guided more than 10 M.Sc. and Ph.D. students, and currently, several M.Sc./M.Tech./Ph.D. students are working with him. He got many awards from India, Australia, and the USA. Few of these are the
Dr. Kuldeep Singh is an assistant professor in the Department of Electronics and Communication Engineering at MNIT, Jaipur, India. Dr. Singh has received his Ph.D. degree in Computer Vision from Delhi Technological University, New Delhi, India, and M. Tech. degree in Signal Processing from Netaji Subhash Institute of Technology, New Delhi. He has worked as a postdoctoral fellow at the University of Alberta, Canada, where he was involved in the development of deep learning-based functional prototypes for agriculture applications. Before joining MNIT, he worked at the Central Research Laboratory of Bharat Electronics Ltd. (BEL), Ghaziabad, as a scientist from Jan 2007 to Mar 2019. During his stint at BEL, he has worked on various projects of national importance. He was involved in the software development of various C4I systems for Indian and foreign defense forces. He has been awarded R & D Excellence award at Bharat Electronics Ltd. in 2009 and 2011. Dr. Singh's research interest involves various fields which include machine/deep learning, computer vision, artificial intelligence, biometrics, and cyber-security, and has authored more than 40 publications in these research areas. Apart from that, he is a potential reviewer of various IEEE transactions, Elsevier & Springer journals.
- 2023, 1st ed. 2023, 217 Seiten, Englisch
- Herausgegeben: Sumit Kumar, Raj Setia, Kuldeep Singh
- Verlag: Springer Nature Singapore
- ISBN-10: 9811976988
- ISBN-13: 9789811976988
- Erscheinungsdatum: 02.01.2023
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- Grösse: 7.91 MB
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