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Building feature extraction with machine learning : geospatial applications /

"This book is focused on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way a...

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Bibliographic Details
Main Authors: Aithal, Bharath H. (Author), Prakash P. S. (Geospatial engineer) (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, [2023].
Subjects:
Physical geography > Data processing.
Geospatial data.
Geoinformatics.
Machine learning.
Géographie physique > Informatique.
Données géospatiales.
Apprentissage automatique.
TECHNOLOGY / Remote Sensing
SCIENCE / Earth Sciences / General
Geoinformatics
Geospatial data
Machine learning
Physical geography > Data processing
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:"This book is focused on feature extraction methods for optical geospatial data using Machine Learning (ML). It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others"--
Physical Description:1 online resource (xv, 128 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781003288046
1003288049