Oblique Aerial Photography Tool for Building Inspection and Damage 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.

[1]  Fabio Remondino,et al.  Building Footprints Extraction from Oblique Imagery , 2013 .

[2]  K. Kraus Photogrammetry: Geometry from Images and Laser Scans , 2007 .

[3]  I. Colomina,et al.  Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .

[4]  Joachim Höhle,et al.  Photogrammetric Measurements in Oblique Aerial Images , 2008 .

[5]  George Vosselman,et al.  VERIFICATION OF 3D BUILDING MODELS USING MUTUAL INFORMATION IN AIRBORNE OBLIQUE IMAGES , 2012 .

[6]  M. Rothermel,et al.  Oblique Image Data Processing – Potential , Experiences and Recommendations , 2013 .

[7]  F. Remondino,et al.  Oblique airborne photogrammetry : users' and vendors' views : EuroSDR Survey , 2014 .

[8]  F. Nex,et al.  UAV for 3D mapping applications: a review , 2014 .

[9]  George Vosselman,et al.  Oblique airborne photogrammetry : properties, configurations and applications , 2014 .

[10]  Claudio Bozzini,et al.  A New Monoplotting Tool to Extract Georeferenced Vector Data and Orthorectified Raster Data from Oblique Non-Metric Photographs: , 2012 .

[11]  Markus Gerke,et al.  Supervised and unsupervised MRF based 3D scene classification in multiple view airborne oblique images , 2013 .

[12]  Fabio Remondino,et al.  Automated processing of oblique imagery : connectivity graph to cope with tilted views , 2014 .

[13]  K. Jacobsen Geometry of vertical and oblique image combinations , 2008 .

[14]  Yongwei Sheng,et al.  Theoretical Analysis of the Iterative Photogrammetric Method to Determining Ground Coordinates from Photo Coordinates and a DEM , 2005 .

[15]  F. Nex,et al.  OBLIQUE MULTI-CAMERA SYSTEMS - ORIENTATION AND DENSE MATCHING ISSUES , 2014 .