|
|
|||
|
||||
OverviewAs 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. Full Product DetailsAuthor: Saro Lee , Hyung-Sup JungPublisher: Mdpi AG Imprint: Mdpi AG Dimensions: Width: 17.00cm , Height: 3.00cm , Length: 24.40cm Weight: 0.934kg ISBN: 9783039212156ISBN 10: 303921215 Pages: 438 Publication Date: 03 September 2019 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |