Authors:
Philipp Meixner
1
and
Franz Leberl
2
Affiliations:
1
Institute for Computer Graphics and Vision, University of Technology, Austria
;
2
ICG TUGRAZ, Austria
Keyword(s):
Aerial images, 3D-buildings, Image segmentation, Building floors, Window detection, Real property.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Data Mining
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
Abstract:
We automate the characterization of real property and propose a processing framework for this task. Information is being extracted from aerial photography and various data products derived from that photography in the form of a true orthophoto, a dense digital surface model and digital terrain model, and a classification of land cover. To define a real property, one has available a map of cadastral property boundaries. Our goal is to develop a table for each property with descriptive numbers about the buildings, their dimensions, number of floors, number of windows, roof shapes, impervious surfaces, garages, sheds, vegetation, the presence of a basement floor etc.