Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Dublin Core

Title

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Subject

Mechanical Engineering

Description

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.

Creator

Lee, Saro --- Jung, Hyung-Sup

Source

https://www.mdpi.com/books/pdfview/book/1533

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Date

2019

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Collection

Citation

Lee, Saro --- Jung, Hyung-Sup, “Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing,” Open Educational Resource (OER) - Unsyiah Library, accessed October 4, 2022, http://uilis.unsyiah.ac.id/oer/items/show/4533.

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