Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 309-313, 2014
https://doi.org/10.5194/isprsarchives-XL-1-309-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Nov 2014
Oblique Aerial Photography Tool for Building Inspection and Damage Assessment
A. Murtiyoso1, F. Remondino2, E. Rupnik2, F. Nex2, and P. Grussenmeyer1 1INSA Strasbourg / ICube Laboratory, Strasbourg, France
2D Optical Metrology Unit (3DOM), Bruno Kessler Foundation (FBK), Trento, Italy
Keywords: monoplotting, oblique imagery, measurement, façade inspection, disaster assessment Abstract. Aerial photography has a long history of being employed for mapping purposes due to some of its main advantages, including large area imaging from above and minimization of field work. Since few years multi-camera aerial systems are becoming a practical sensor technology across a growing geospatial market, as complementary to the traditional vertical views. Multi-camera aerial systems capture not only the conventional nadir views, but also tilted images at the same time. In this paper, a particular use of such imagery in the field of building inspection as well as disaster assessment is addressed. The main idea is to inspect a building from four cardinal directions by using monoplotting functionalities. The developed application allows to measure building height and distances and to digitize man-made structures, creating 3D surfaces and building models. The realized GUI is capable of identifying a building from several oblique points of views, as well as calculates the approximate height of buildings, ground distances and basic vectorization. The geometric accuracy of the results remains a function of several parameters, namely image resolution, quality of available parameters (DEM, calibration and orientation values), user expertise and measuring capability.
Conference paper (PDF, 1240 KB)


Citation: Murtiyoso, A., Remondino, F., Rupnik, E., Nex, F., and Grussenmeyer, P.: Oblique Aerial Photography Tool for Building Inspection and Damage Assessment, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 309-313, https://doi.org/10.5194/isprsarchives-XL-1-309-2014, 2014.

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