ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 135-142, 2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
11 Mar 2015
F. Nex1, M. Gerke2, F. Remondino1, H.-J. Przybilla3, M. Bäumker3, and A. Zurhorst4 13D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Italy
2University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science, The Netherlands
3Hochschule Bochum, Faculty of Geodesy, Bochum, Germany
4Aerometrics GmbH, Werne, Germany
Keywords: Photogrammetry, Matching, Orientation, Data, Integration, Multisensor, Accuracy, Estimation Abstract. Airborne high resolution oblique imagery systems and RPAS/UAVs are very promising technologies that will keep on influencing the development of geomatics in the future years closing the gap between terrestrial and classical aerial acquisitions. These two platforms are also a promising solution for National Mapping and Cartographic Agencies (NMCA) as they allow deriving complementary mapping information. Although the interest for the registration and integration of aerial and terrestrial data is constantly increasing, only limited work has been truly performed on this topic. Several investigations still need to be undertaken concerning algorithms ability for automatic co-registration, accurate point cloud generation and feature extraction from multiplatform image data. One of the biggest obstacles is the non-availability of reliable and free datasets to test and compare new algorithms and procedures.

The Scientific Initiative “ISPRS benchmark for multi-platform photogrammetry”, run in collaboration with EuroSDR, aims at collecting and sharing state-of-the-art multi-sensor data (oblique airborne, UAV-based and terrestrial images) over an urban area. These datasets are used to assess different algorithms and methodologies for image orientation and dense matching. As ground truth, Terrestrial Laser Scanning (TLS), Aerial Laser Scanning (ALS) as well as topographic networks and GNSS points were acquired to compare 3D coordinates on check points (CPs) and evaluate cross sections and residuals on generated point cloud surfaces. In this paper, the acquired data, the pre-processing steps, the evaluation procedures as well as some preliminary results achieved with commercial software will be presented.

Conference paper (PDF, 3716 KB)

Citation: Nex, F., Gerke, M., Remondino, F., Przybilla, H.-J., Bäumker, M., and Zurhorst, A.: ISPRS BENCHMARK FOR MULTI-PLATFORM PHOTOGRAMMETRY, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 135-142, doi:10.5194/isprsannals-II-3-W4-135-2015, 2015.

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