The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-M-2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 65–69, 2022
https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-65-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 65–69, 2022
https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-65-2022
 
25 Jul 2022
25 Jul 2022

PERFORMANCE EVALUATION OF BUILDING FAÇADE RECONSTRUCTION FROM UAS IMAGERY

E. R. Clay1, K. S. Lee1, S. Tan1, L. N. H. Truong2, O. E. Mora1, and W. Cheng1 E. R. Clay et al.
  • 1Civil Engineering Department, California State Polytechnic University, Pomona, USA
  • 2Department of Computer Science, California State Polytechnic University, Pomona, USA

Keywords: Unmanned Aircraft System (UAS), Ground Control Point (GCP), Photogrammetry, Point Cloud, Cloud-to-Cloud (C2C), Accuracy, Reconstruction

Abstract. Unmanned Aircraft Systems (UASs) coupled with low-cost cameras are rapidly becoming a cost-effective alternative for surveying and mapping, particularly for civil, construction, and environmental engineering applications. The proliferation of UASs provide unique opportunities to map and model surfaces at unprecedented spatial and temporal resolutions. Although, UASs have been extensively evaluated for mapping and modeling, limited research has been performed on assessing the accuracy of UAS imagery for building façade reconstruction. In this study, a performance evaluation of UAS mapping for building façade reconstruction is performed. Our results suggest that there are many aspects that impact the accuracy of UAS photogrammetry for building façade reconstruction. In specific, the texture, contrast, and subtle details influence the generated point cloud, thus complicating the building façade reconstruction. The best results were obtained by strategizing the flying height and camera angle; where, the mean, median, and standard deviation for the cloud-to-cloud (C2C) absolute distances were 0.023, 0.014, and 0.023 meters, respectively, by applying a flying height of 150’ with an orbit at 80’. Therefore, it may be concluded that UAS photogrammetric mapping can meet sub-decimeter accuracy for building façade reconstruction, if proper planning, data collection and processing procedures are followed.