In the past two decades, very intensive development has been done in the area of LiDAR technology, providing high-quality spatial data for large areas in a short time. The raw LiDAR data consists of an enormous number of points, made by reflection of the laser beam from various objects such as earth’s surface, buildings, vegetation, powerlines, bridges, etc. In order to extract the geometrical characteristics of the objects many different approaches and methods have been developed. Many of these approaches have been focused on automatic feature extraction. The subject of this paper is to investigate the possibilities for automatic building footprint extraction from LiDAR data provided by the Agency for Real Estate Cadastre, available for the territory of the Republic of North Macedonia.

DOI: https://doi.org/10.55302/SJCE22112013gj