6 citations · 9 across the 5 of their papers we have counts for
5 papers
The Impact of Processing Parameters on High-Accuracy Measurements in UAV Photogrammetry
Paweł Ćwiąkała, Edyta Puniach, Elżbieta Pastucha +1
Unmanned aerial vehicle (UAV) photogrammetry is increasingly used in applications requiring high accuracy, such as determining ground surface changes caused by landslides, mining,…
Recognition of Urbanized Areas in UAV-Derived Very-High-Resolution Visible-Light Imagery
Edyta Puniach, Wojciech Gruszczyński, Paweł Ćwiąkała +2
This study compared classifiers that differentiate between urbanized and non-urbanized areas based on unmanned aerial vehicle (UAV)-acquired RGB imagery. The tested solutions in-cl…
Determining Vertical Displacement of Agricultural Areas Using UAV-Photogrammetry and a Heteroscedastic Deep Learning Model
Wojciech Gruszczyński, Edyta Puniach, Paweł Ćwiąkała +1
This article introduces an algorithm that uses a U-Net architecture to determine vertical ground surface displacements from unmanned aerial vehicle (UAV)-photogrammetry point cloud…
Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning
Radosław Szostak, Marcin Pietroń, Przemysław Wachniew +2
Unmanned aerial vehicle (UAV) photogrammetry allows for the creation of orthophotos and digital surface models (DSMs) of a terrain. However, DSMs of water bodies mapped with this t…
Neuroevolution deep learning architecture search for estimation of river surface elevation from photogrammetric Digital Surface Models
Radosław Szostak, Marcin Pietroń, Mirosław Zimnoch +3
Development of the new methods of surface water observation is crucial in the perspective of increasingly frequent extreme hydrological events related to global warming and increas…