An introduction of Random forest in the machine learning revolution and the application in satellite image classification
Original research | No. 39 (2019)
Original research | No. 39 (2019)

An introduction of Random forest in the machine learning revolution and the application in satellite image classification

DOI: 10.54491/jgac.2019.39.344
10.54491/jgac.2019.39.344
Published 2019-03-01
Minh Hai Pham
Vietnam Institute of Geodesy and Cartography
Ngoc Quang Nguyen
Central Remote Sensing Station
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Pham, M. H., & Nguyen, N. Q. (2019). An introduction of Random forest in the machine learning revolution and the application in satellite image classification. Journal of Geodesy and Cartography, (39), 15–19. https://doi.org/10.54491/jgac.2019.39.344
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Abstract

Random forest is a machine learning statistic method for satellite image classfication, regression by using multiple decision trees. Random Forest shows that it is more efficient than the commonly image classificaton methods because it is possible to find which attributes are more important than others in the decision tree. In fact, it may also indicate that some attributes are ineffective. The main objective of this manuscript isto investigate the method and direct the methodto apply insatellite image classification.
https://doi.org/10.54491/jgac.2019.39.344
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