MACHINE LEARNING IN BIG LIDAR DATA: A REVIEW

Abstract. Machine Learning used to refer as one Artificial Intelligence subsection that perform self-learning computational algorithms either supervised learning or unsupervised learning tasks. Machine Learning can compute a prediction onto hidden data patterns that hardly for human to detect. This valuable information and predictions able to help companies or researchers make a crucial decision making especially in natural disasters. In Geographic Information Systems (GIS), the advancement of Machine Learning used literally on satellite imagery analyses and fewer on LIDAR point clouds. In this paper presents an overview of Machine Learning definitions, big geospatial data, Machine Learning types and models, and advancement researches using Machine Learning in big LIDAR data.