Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Mechanical Engineering

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.

Lee, Saro --- Jung, Hyung-Sup

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

MDPI - Multidisciplinary Digital Publishing Institute

2019

Baihaqi

Creative Commons

PDF

English

Textbooks