Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Ad hoc model generation using multiscale LIDAR data from a geospatial database

: Gordon, Marvin; Borgmann, Björn; Gehrung, Joachim; Hebel, Marcus; Arens, Michael

Fulltext urn:nbn:de:0011-n-3625878 (13 MByte PDF)
MD5 Fingerprint: da05b8fdde849ab5737b164db3394540
Created on: 15.10.2015

Mallet, C. ; International Society for Photogrammetry and Remote Sensing -ISPRS-:
ISPRS Geospatial Week 2015 : 28 September–3 October 2015, La Grande Motte, France
Istanbul: ISPRS, 2015 (ISPRS Archives XL-3/W3)
Geospatial Week <2015, La Grande Motte>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()
LIDAR; database; model; mapping; visualization; urban

Due to the spread of economically priced laser scanning technology nowadays, especially in the field of topographic surveying and mapping, ever-growing amounts of data need to be handled. Depending on the requirements of the specific application, airborne, mobile or terrestrial laser scanners are commonly used. Since visualizing this flood of data is not feasible with classical approaches like raw point cloud rendering, real time decision making requires sophisticated solutions. In addition, the efficient storage and recovery of 3D measurements is a challenging task. Therefore we propose an approach for the intelligent storage of 3D point clouds using a spatial database. For a given region of interest, the database is queried for the data available. All resulting point clouds are fused in a model generation process, utilizing the fact that low density airborne measurements could be used to supplement higher density mobile or terrestrial laser scans. The octree based modeling approach divides and subdivides the world into cells of varying size and fits one plane per cell, once a specified amount of points is present. The resulting model exceeds the completeness and precision of every single data source and enables for real time visualization. This is especially supported by data compression ratios of about 90%.