Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Author :
Publisher :
Total Pages : 1
Release :
ISBN-10 : 3039212168
ISBN-13 : 9783039212163
Rating : 4/5 (163 Downloads)

Book Synopsis Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by : Hyung-Sup Jung

Download or read book Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing written by Hyung-Sup Jung and published by . This book was released on 2019 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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