Abstract
Abstract. Both, improvements in camera technology and new pixel-wise matching approaches triggered the further development of software tools for image based 3D reconstruction. Meanwhile research groups as well as commercial vendors provide photogrammetric software to generate dense, reliable and accurate 3D point clouds and Digital Surface Models (DSM) from highly overlapping aerial images. In order to evaluate the potential of these algorithms in view of the ongoing software developments, a suitable test bed is provided by the ISPRS/EuroSDR initiative Benchmark on High Density Image Matching for DSM Computation. This paper discusses the proposed test scenario to investigate the potential of dense matching approaches for 3D data capture from oblique airborne imagery. For this purpose, an oblique aerial image block captured at a GSD of 6 cm in the west of Zürich by a Leica RCD30 Oblique Penta camera is used. Within this paper, the potential test scenario is demonstrated using matching results from two software packages, Agisoft PhotoScan and SURE from University of Stuttgart. As oblique images are frequently used for data capture at building facades, 3D point clouds are mainly investigated at such areas. Reference data from terrestrial laser scanning is used to evaluate data quality from dense image matching for several facade patches with respect to accuracy, density and reliability.
Highlights
Benchmarks have proven to be extremely useful in order to document the rapid progress of software tools for image based 3D point cloud generation
While these data sets are used to evaluate the potential of software systems to generate Digital Surface Models (DSM) from nadir imagery (Haala, 2014) this paper introduces an additional test scenario, which has been set up to investigate the potential of high density image matching for oblique airborne imagery
The potential of photogrammetric 3D data capture using automatic image matching was demonstrated in comparison to airborne laser scanning (Haala et al, 2010) and the data sets were further used by Haala & Rothermel (2012) for the evaluation of DSMs generated by dense image matching (DIM)
Summary
Benchmarks have proven to be extremely useful in order to document the rapid progress of software tools for image based 3D point cloud generation. Such tools are currently developed by a number of research institutes and photogrammetric software vendors. The benchmark covers data from two image blocks captured with standard photogrammetric camera systems While these data sets are used to evaluate the potential of software systems to generate DSM from nadir imagery (Haala, 2014) this paper introduces an additional test scenario, which has been set up to investigate the potential of high density image matching for oblique airborne imagery
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