Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing by Saro Lee
English | PDF | 2019 | 440 Pages | ISBN : N/A | 107.41 MB
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.