Cloud-to-cloud assessment of UAV and TLS 3D reconstructions of cultural heritage monuments: the case of Torre Zozzoli

Saponaro, Mirko; Capolupo, Alessandra; Turso, Adriano; Tarantino, Eufemia

doi:10.1117/12.2570771

Cited by 4 publications

(3 citation statements)

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“…Research on the documentation of historical monuments has been elaborated in the articles [124][125][126][127][128][129][130]. In [124], the authors dealt with the measurement and documentation of the Church of the Holy Spirit in Liběchov, Czech Republic.…”

Section: Documentation Of Historical Heritagementioning

confidence: 99%

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Review of Photogrammetric and Lidar Applications of UAV

Kovanič,

Topitzer,

Peťovský

et al. 2023

Applied Sciences

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Using Unmanned Aerial Vehicles (UAVs) combined with various sensors brings the benefits associated with fast, automatic, and contactless spatial data collection with high resolution and accuracy. The most frequent application is the possibility of effectively creating spatial models based on photogrammetric and lidar data. This review analyzes the current possibilities of UAVs. It provides an overview of the current state of the art and research on selected parameters regarding their history and development, classification, regulation, and application in surveying with creating spatial models. Classification and regulation are based on national sources. The importance and usability of this review are also carried out by analyzing the UAV application with selected photogrammetric and lidar sensors. The study explores and discusses results achieved by many authors in recent years, synthesizing essential facts. By analyzing the network of co-occurring High-Frequency Words, in addition, we visualized the importance of the primary keyword UAV in the context of other keywords in the literary sources processed.

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Section: Documentation Of Historical Heritagementioning

confidence: 99%

“…As a result, a 3D model with a resolution of 14 mm was created. In the article [130], the TLS and UAV technologies were compared. For this study, the site of the historical fortified tower Torre Zozzoli, located in Italy, was selected.…”

Section: Documentation Of Historical Heritagementioning

confidence: 99%

Review of Photogrammetric and Lidar Applications of UAV

Kovanič,

Topitzer,

Peťovský

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

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“…It is of key importance that the time-differentiated SfM-products are both accurate and spatially consistent. Hence, there is a growing need to establish a proper management of SfM-clouds starting from their generation up to the identification of a viable co-registration approach for a proper comparison among them (Coulter et al, 2019;Saponaro et al, 2020a). In a more traditional approach, co-registration is inherited from the georeferencing itself, or else it can be set manually by taking one cloud as a reference and overlaying the others in at least 4 point-benchmarks.…”

Section: Introductionmentioning

confidence: 99%

Influence of Co-Alignment Procedures on the Co-Registration Accuracy of Multi-Epoch SFM Points Clouds

Saponaro

Capolupo

Caporusso

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The well-established spread of Remotely Piloted Aircraft Systems (RPAS) as high-performance devices in the acquisition of huge datasets has found a fertile field in the geomorphological change detection in coastal areas. The ability to retrieve image datasets with multi-epoch frequency makes them effectively incisive for planning ongoing monitoring. Considering the wide accessibility to multiple Structure-from-Motion (SfM)-3D point clouds, it follows the need for their proper management to identify a profitable co-registration approach valid for a proper comparison among them. In most cases the co-registration is inherited from the same georeferencing; in other cases, it can be done manually. Unfortunately, these methodologies are time consuming and often do not properly consider geometric errors on the models. The purpose of this research work was therefore to analyse an alternative method such as the co-alignment of sparse point clouds. Given the independently or co-aligned processed multi-epoch datasets, mean errors (ME) and root-mean-square error (RMSE) on Check Points (CPs) were evaluated by adopting different georeferencing strategies. Lastly, by first generating dense point clouds and from these the Digital Elevation Models (DEMs), scalar fields regarding DEM of Differences (DoD) were computed and allowed to localize any uncertainties δz among the estimated elevations. A cloud-to-cloud comparison was obtained using the M3C2 algorithm to extrapolate systematic georeferencing errors and the local deviation between models, an evidence of how the method can affect the detectable changes. The co-alignment methodology showed encouraging results proving to be a valid alternative to more traditional approaches.

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