The point clouds generated are the basis for the investigation presented in this contribution. The processing was carried out with two software packages from Agisoft and Pix4D on the basis of both generated TIF or JPG data sets. Furthermore, the effects of different data filters, which are part of the evaluation programs, were considered. This investigation aims at evaluating the influence of the image data format on point clouds generated by a Dense Image Matching process. At the UAV test field at the former Zollern colliery (Dortmund, Germany), set up by Bochum University of Applied Sciences, a medium-format camera from Phase One (IXU 1000) was used to capture UAV image data in RAW format. TIF or JPG) is another important quality parameter. In addition to the performance of the sensor used (a digital camera), the image data format (e.g. The quality of image-based point clouds generated from images of UAV aerial flights is subject to various influencing factors. This study helps to select the best UAV data processing software for the project that requires high elevation accuracy in topographical mapping or urban object utilization.KeywordsDrone2MapUAVPix4DAgisoft photoscaan Vertical elevation error is estimated by elevation profile and statistical comparisons of UAV-derived elevation in the DSM datasets. Digital Surface Model (DSM) is generated.
Collected images are processed using all the selected platform elevation datasets, i.e. In this study, DJI Phantom 4 is used to collect 147 very high-resolution overlapped images in the selected study area (Department of Civil Engineering, IIT-Roorkee, India) at the defined height. This study aims to assess the elevation accuracy of some of the most preferred Uncrewed Aerial Vehicle (UAV) data processing software from ESRI, Pix4D, and Agisoft Photoscan. Digital Terrain Model (DTM) and Digital Surface Model (DSM) is the elevation model that provides elevation information of terrain and earth features (object), respectively. Whether planning urban development, conducting a hydrological construction in different terrain conditions, or analyzing terrain features for oil and gas exploration: accurate elevation information is vital.
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