Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
Author:   Maria Pia Del Rosso (Electronics Engineer and Researcher, University of Sannio, Engineering Department, Italy) ,  Alessandro Sebastianelli (Electronics Engineer and Researcher, University of Sannio, Engineering Department, Italy) ,  Silvia Liberata Ullo (Professor, University of Sannio, Telecommunications and Remote Sensing Group, Italy)
Publisher:   Institution of Engineering and Technology
ISBN:  

9781839532122


Pages:   283
Publication Date:   09 November 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation


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Author:   Maria Pia Del Rosso (Electronics Engineer and Researcher, University of Sannio, Engineering Department, Italy) ,  Alessandro Sebastianelli (Electronics Engineer and Researcher, University of Sannio, Engineering Department, Italy) ,  Silvia Liberata Ullo (Professor, University of Sannio, Telecommunications and Remote Sensing Group, Italy)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839532122


ISBN 10:   1839532122
Pages:   283
Publication Date:   09 November 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1: The rise of Artificial Intelligence (AI) for Earth Observation (EO) Chapter 2: Principles of satellite data analysis Chapter 3: Artificial intelligence, machine learning and deep learning Chapter 4: Artificial neural network Chapter 5: Convolutional neural networks Chapter 6: How to create a proper EO dataset Chapter 7: How to develop your network with Python and Keras Chapter 8: A classification problem Chapter 9: A generation problem Chapter 10: A filtering problem: SAR speckle filtering Chapter 11: Future perspectives and conclusions

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Maria Pia Del Rosso is an electronics engineer and researcher in the Engineering Department of the University of Sannio, Italy, with a particular interest in Remote Sensing and Artificial Intelligence. While a master student she worked on monitoring natural disaster through satellite data. She is a member of the IEEE Geoscience and Remote Sensing Society and the IEEE Communications Society. Alessandro Sebastianelli is an electronics engineer and researcher in the Engineering Department of the University of Sannio, Italy, with research interests in Remote Sensing and Artificial Intelligence. During his years as a master student he worked on monitoring natural disaster through satellite data. He is a member of the IEEE Communications Society and the IEEE Geoscience and Remote Sensing Society. Silvia Liberata Ullo is a professor and researcher in the Telecommunications and Remote Sensing group at the University of Sannio, Italy. Her research deals with data analysis and remote sensing techniques. She is a senior member of the IEEE and is associated with IEEE Aerospace and Electronic Systems, IEEE Geoscience and Remote Sensing, IEEE Communication, IEEE Signal Processing and IEEE Women In Engineering (WIE).

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