Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

This book PDF is perfect for those who love Technology & Engineering genre, written by Hyung-Sup Jung and published by MDPI which was released on 03 September 2019 with total hardcover pages 438. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing books below.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Author : Hyung-Sup Jung
File Size : 52,9 Mb
Publisher : MDPI
Language : English
Release Date : 03 September 2019
ISBN : 9783039212156
Pages : 438 pages
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Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Hyung-Sup Jung Book PDF Summary

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.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Hyung-Sup Jung,Saro Lee

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)

Get Book
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Hyung-Sup Jung,Saro Lee

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)

Get Book
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