UseGeo - UAV-based multi-sensor dataset for geospatial research

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Description

USEGEO is an ISPRS Scientific Initiative which aims to prepare and deliver a new and unique dataset for the rigorous assessment of image-based 3D reconstruction algorithms applied to datasets acquired with UAV platforms.

USEGEO presents a new large-scale real-world set of data suitable for multiple tasks, such as monocular depth estimation, multi-view 3D reconstruction (MVS), etc.

#### Flight specifications * Area Covered: 1100 x 650 meters * Average flight height: 80m above ground * GSD (Ground Sampling Distance - image resolution in object space): approx. 2 cm * Image overlap: 80% (forward) - 60% (side) * LiDaR point cloud density: ca 50 points/m2 #### Provided data: Images, depths, dense point clouds * Total number of images (and relative ground truth depths): 829 in the 3 datasets * Image size: 7952 x 5304 px * Provided Ground Truth depth size: 1989 × 1320 px (1/4 resized / downsampled) * Camera poses (X0, Y0, Z0, omega [deg], phi[deg], kappa[deg]) and interior parameters (c[px], x0[px], y0[px]): provided * LiDAR point clouds: provided * Photogrammetric point cloud (MVS): provided | Dataset | Strips | # images | GSD [cm] | link | |---|---|---|---|---| | 1 | 8 | 224 | 1.7 | download| | 2 | 8 | 328 | 1.8| download| | 3 | 8 | 277 | 1.9| download| The links to download can be blocked by the firewall of your university/institution. If the download does not work, please try with another network (e.g. home connection).

_________________________________________________________________________ ### Related publications Nex, F., Zhang, N., Remondino, F., Farella, E. M., Qin, R., and Zhang, C., 2023: BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W3-2023, 123–130. F. Nex, E.K. Stathopoulou, F. Remondino, M.Y. Yang, L. Madhuanand, Y. Yogender, B. Alsadik, M. Weinmann, B. Jutzi, R. Qin, 2024: UseGeo - A UAV-based multi-sensor dataset for geospatial research. ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol. 13, 100070 M. Hermann, M. Weinmann, F. Nex, E.K. Stathopoulou, F. Remondino, B. Jutzi, B. Ruf, 2024: Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100065. _________________________________________________________________________ ### Related repository Depth estimation and 3D model reconstruction from aerial imagery: https://github.com/UseGeoEvaluation/DepthEstimationAnd3DReconstruction _________________________________________________________________________ ### Credits This dataset is publicly available for research purposes. If you use this dataset for your research, please cite the ISPRS Scientific Initiative USEGEO - https://usegeo.fbk.eu _________________________________________________________________________ ### License The data provided here is licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](https://creativecommons.org/licenses/by-nc-sa/4.0/).