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3D Geoinformatics for Engineering applications
General information
Learning outcomes
Structure
Topics
Topics
engineering and urban planning applications
airborne LiDAR systems
3D data acquisition
spaceborne passive sensors
airborne data
satellite imagery
spaceborne passive solutions
Remote sensing
data processing pipeline
terrestrial data sources integration
TLS
spaceborne passive sensors applications
passive terrestrial
airborne active solutions
3D geoinformation data acquisition
terrestrial active sensors applications
close-range photogrammetry techniques
3D geoinformation data processing
3D data processing techniques
spaceborne passive sensors examples
3D data collection
data processing
data quality assessment
quality
3D data processing methods
airborne passive sensors applications
generated products integration
active terrestrial
aerial data sources integration
ground-based LiDAR systems
terrestrial active solutions
application
3D geinformation innovations
passive airborne
data processing accuracy
active spaceborne
3D data collection methods
3D models
airborne passive data
3D geinformation future trends
engineering applications
quality control
accuracy enhancement
airborne active sensors applications
Case study
platforms
3D geinformation
generated products
airborne passive solutions
data accuracy assessment
spaceborne active solutions
timetable
course objectives
data processing assessment
3D geoinformation generation
LiDAR technology
spaceborne active sensors
radar technology
terrestrial passive solutions
3D geoinformation engineering applications
active airborne
data fusion
passive spaceborne
data integration
aerial imaging techniques
3D data processing
course structure
MLS
3D data acquisition techniques
UNIVERSITY OF TWENTE
Faculty of Geo-Information Science and Earth Observation
GeoCourseHub at Utwente.nl