Artificial intelligence applied to satellite-based remote sensing data for earth observation /

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Bibliographic Details
Imprint:	London, United Kingdom : The Institution of Engineering and Technology, 2021. ©2021
Description:	1 online resource (xxii, 256 pages) : illustrations
Language:	English
Series:	IET telecommunications series ; 98 IET telecommunications series ; 98.
Subject:	Remote sensing -- Data processing. Artificial intelligence. Artificial satellites in remote sensing. Artificial Intelligence Artificial intelligence Artificial satellites in remote sensing Remote sensing -- Data processing
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13515491

Hidden Bibliographic Details
Other authors / contributors:	Del Rosso, Maria Pia, editor. Sebastianelli, Alessandro, editor. Liberata Ullo, Silvia, editor.
ISBN:	9781839532139 1839532130 9781839532122
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (IET Digital Library, viewed on November 24, 2021)
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.
Other form:	Print version: Artificial intelligence applied to satellite-based remote sensing data for earth observation. Stevenage : Institution of Engineering and Technology, 2021 9781839532122

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