Segmentation of Urban Space through Airborne LiDAR Data
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Abstract
LiDAR (Light Detection And Ranging) has been consolidated as mapping technology, contributing to the of geographic
information science. This paper conducted a LiDAR data processing by TerraScan software in order to extract buildings
from a point cloud. The comparison of the position and dimensions of the buildings obtained by LiDAR processing
with the positions and dimensions of the corresponding features derived from a cartographic reference base, provided that the diff erences between the two products were quantifi ed. It was then carried out the quality control of cartographic
LiDAR product in order to classify this product as the standard for digital cartographic accuracy. The product obtained
by LiDAR met the classes C and D of the Brazilian standard for digital products at the 1:5,000 scale and from class
B at the 1:10,000 scale. We recommend careful use of the product depending on the scale of mapping and user needs.
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