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Machine Learning Techniques Applied To Geoscience Information System And Remote Sensing

Mdpi AG
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9783039212156
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ISBN13:
9783039212156
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.


  • | Author: Hyung-Sup Jung, Saro Lee
  • | Publisher: Mdpi Ag
  • | Publication Date: Sep 03, 2019
  • | Number of Pages: 438 pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 303921215X
  • | ISBN-13: 9783039212156
Author:
Hyung-Sup Jung, Saro Lee
Publisher:
Mdpi Ag
Publication Date:
Sep 03, 2019
Number of pages:
438 pages
Language:
English
Binding:
Paperback
ISBN-10:
303921215X
ISBN-13:
9783039212156