Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing.

"Automated image fusion processes involving cross-mission of multiple satellites with the aid of ground-based sensor networks and databases are critical to support environmental decision-making. This book is unique because it rests upon a smooth integration between image fusion and data mining...

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Bibliographic Details
Main Authors: Chang, Ni-Bin (Author), Bai, Kaixu (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Milton : Taylor and Francis, [2018]
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Automated image fusion processes involving cross-mission of multiple satellites with the aid of ground-based sensor networks and databases are critical to support environmental decision-making. This book is unique because it rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuses on environmental application issues at global and regional scale, while using local scale ground-truth data for calibration and validation. It has potential to be integrated with local scale data/image fusion based on local physical sensors and human observations."--Provided by publisher.
Item Description:6.2.2 Mathematical Morphology.
Physical Description:1 online resource (xix, 508 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781351650632
1351650637
9781498774345
1498774342
9781315154602
1315154609