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Contribution of two plane detection algorithms to recognition of intact and damaged buildings in lidar data
Author(s) -
Rehor Miriam,
Bähr HansPeter,
TarshaKurdi Fayez,
Landes Tania,
Grussenmeyer Pierre
Publication year - 2008
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/j.1477-9730.2008.00501.x
Subject(s) - lidar , computer science , plane (geometry) , field (mathematics) , remote sensing , event (particle physics) , algorithm , data mining , artificial intelligence , geology , mathematics , geometry , physics , quantum mechanics , pure mathematics
In the field of disaster management the detection and classification of building damage play an important role. Airborne lidar data is very suitable as a basis for damage analyses because it can be acquired for large areas directly after a disaster. In building damage classification methods, plane surfaces extracted from post‐event lidar data are often used as one input. Various different algorithms exist for automatic plane detection from lidar data, of which two are presented in this paper and applied to lidar data of undamaged and damaged buildings. Finally, the suitability of these two algorithms for a more detailed building damage classification is studied and analysed.