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Communication Dans Un Congrès Année : 2007

Extension of an automatic building extraction technique to airborne laser scanner data containing damaged buildings

Résumé

Airborne laser scanning systems generate 3-dimensional point clouds of high density and irregular spacing. These data consist of
multiple returns coming from terrain, buildings, and vegetation. The major difficulty is the extraction of object categories, usually
buildings. In the field of disaster management, the detection of building damages plays an important role. Therefore, the question
arises, if damaged buildings can also be detected by a method developed for the automatic extraction of buildings. Another purpose
of this study is to extend and test an automatic building detection method developed initially for first echo laser scanner data on data
captured in first and last echo. In order to answer these two questions, two institutes share their data and knowledge: the Institute of
Photogrammetry and Remote Sensing (IPF, Universität Karlsruhe (TH), Germany) and the MAP-PAGE team (INSA de Strasbourg,
France). The used 3D LIDAR data was captured over an area containing undamaged and damaged buildings. The results achieved
for every single processing step by applying the original and the extended algorithm to the data are presented, analysed and
compared. It is pointed out which buildings can be extracted by which algorithm and why some buildings remain undetected
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Dates et versions

halshs-00264836 , version 1 (19-05-2008)

Identifiants

  • HAL Id : halshs-00264836 , version 1

Citer

Fayez Tarsha-Kurdi, M. Rehor, Tania Landes, Pierre Grussenmeyer, H.P Baehr. Extension of an automatic building extraction technique to airborne laser scanner data containing damaged buildings. ISPRS Hannover Workshop, Germany, High-Resolution Earth Imaging for Geospatial Information, Jun 2007, Germany. pp.1-6. ⟨halshs-00264836⟩
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