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Artificial Intelligence and Machine Learning in Satellite Data Processing and Services

Bag om Artificial Intelligence and Machine Learning in Satellite Data Processing and Services

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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789811976971
  • Indbinding:
  • Hardback
  • Sideantal:
  • 232
  • Udgivet:
  • 3. Januar 2023
  • Udgave:
  • 23001
  • Størrelse:
  • 160x18x241 mm.
  • Vægt:
  • 560 g.
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Leveringstid: 2-3 uger
Forventet levering: 5. Juni 2024

Beskrivelse af Artificial Intelligence and Machine Learning in Satellite Data Processing and Services

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.

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