| Description |
1 online resource (xxii, 256 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
IET telecommunications series ; 98
|
|
IET telecommunications series ; 98.
|
| Bibliography |
Includes bibliographical references and index. |
| Contents |
The rise of Artificial Intelligence (AI) for Earth Observation (EO) / Pierre Philippe Mathieu -- Principles of satellite data analysis / Alessandro Sebastianelli, Silvia Liberata Ullo, Maria Pia Del Rosso, Sara Aparício, Andrea Radius, Chiara Zarro, James Wheeler, Chris Stewart, and Pia Addabbo -- Artificial intelligence, machine learning and deep learning / Maria Pia Del Rosso, Silvia Liberata Ullo, Alessandro Sebastianelli, Dario Spiller, Erika Puglisi, Diego Di Martire, Sara Aparicio, and Pia Addabbo -- Artificial neural network / Maria Pia Del Rosso, Silvia Liberata Ullo, Alessandro Sebastianelli, Dario Spiller, Erika Puglisi, Filippo Biondi, and Danilo Orlando -- Convolutional neural networks / Silvia Liberata Ullo, Alessandro Sebastianelli, Maria Pia Del Rosso, Dario Spiller, Erika Puglisi, Artur Nowakowski, Mario Luca Bernardi, and Marta Cimitile -- How to create a proper EO dataset / Maria Pia Del Rosso, Alessandro Sebastianelli, Sara Aparicio, and James Wheeler -- How to develop your network with Python and Keras / Silvia Liberata Ullo, Maria Pia Del Rosso, Alessandro Sebastianelli, Erika Puglisi, Mario Luca Bernardi, and Marta Cimitile -- A classification problem / Alessandro Sebastianelli, Maria Pia Del Rosso, Chiara Zarro, Diego Di Martire, Mariano Di Napoli, Dario Spiller, Artur Nowakowski, Rogerio Bonifacio, Do-Hyung Kim, and Manuel Garcia-Herranz -- A generation problem / Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo, Erika Puglisi, and Filippo Biondi -- A filtering problem: SAR speckle filtering / Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo, Andrea Radius, Carmine Clemente, Danilo Orlando, Filippo Biondi, and James Wheeler -- Future perspectives and conclusions / Silvia Liberata Ullo. |
| Summary |
This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Remote sensing -- Data processing.
|
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Remote sensing -- Data processing. |
|
Artificial intelligence.
|
|
Artificial intelligence. |
|
Artificial satellites in remote sensing.
|
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Artificial satellites in remote sensing. |
|
artificial intelligence. |
| Genre/Form |
Electronic books.
|
|
Electronic books.
|
| Added Author |
Del Rosso, Maria Pia, editor.
|
|
Sebastianelli, Alessandro, editor.
|
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Liberata Ullo, Silvia, editor.
|
| Other Form: |
Print version: Artificial intelligence applied to satellite-based remote sensing data for earth observation. Stevenage : Institution of Engineering and Technology, 2021 9781839532122 (OCoLC)1263792616 |
| ISBN |
9781839532139 electronic book |
|
1839532130 electronic book |
|
9781839532122 hardcover |
|
