Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing - Saro Lee - Books - Mdpi AG - 9783039212156 - September 3, 2019
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Saro Lee

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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released September 3, 2019
ISBN13 9783039212156
Publishers Mdpi AG
Pages 438
Dimensions 170 × 244 × 30 mm   ·   934 g
Language English  

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