Geometric Accuracy Evaluation of Geospatial Data Using Low-Cost Sensors on Small UAVs

Saponaro, Mirko; Tarantino, Eufemia; Fratino, Umberto

doi:10.1007/978-3-319-95174-4_29

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…The RMSE value can be considered as a cumulative result of all errors, i.e. both random and systematic errors with a Gaussian distribution (Saponaro, Tarantino, and Fratino 2018), and accordingly representative of the absolute accuracy of each point. Fig.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Assessing the Impact of the Number of GCPS on the Accuracy of Photogrammetric Mapping from UAV Imagery

2019

Baltic Surveying

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(UAVs) very large datasets can be collected rapidly, covering significant surfaces with centimetre-scale resolution, with the consequence possibility to analyse geological structures of coastal areas within those datasets digitally. The monitoring of erosion mechanisms in fact requires high standards of precision to appreciate their effects. With the availability of a regular coastal monitoring programme being carried out in a large territory, UAVs can replace many of the conventional flights, with considerable advantages in the cost of data acquisition and without any loss in the quality of topographic and aerial imagery data. Several works in literature have been focused on finding an effective and sustainable survey strategy to limit costs and work times. However, it is necessary to refine the photogrammetric mapping process to optimize its geometrical accuracy and ensure the multi-temporal and multi-scaling repeatability of final products. The aim of this work is to test the accuracy obtainable from various photogrammetric workflows concerning the 3D modelling of a coastline area that is subject to hydrogeological instability. To this purpose, a set of image data acquired with a UAV, equipped with a non-metric camera and a low-accuracy GNSS/INS receiver, was processed. To maintain and test the accuracy of the whole process, an adequate number of Ground Control Points (GCPs) was acquired by means of a high precision GNSS surveying.

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Section: Discussion and Resultsmentioning

confidence: 99%

Assessing the Impact of the Number of GCPS on the Accuracy of Photogrammetric Mapping from UAV Imagery

2019

Baltic Surveying

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“…A more detailed description of the procedure applied for metrically reconstructing the scene is reported in Capolupo et al (2014Capolupo et al ( , 2015 and in Caradonna et al (2018) (Figure 3). The accuracy of the generated photogrammetric products was obtained by comparing the estimated values during the reconstruction phase and those measured during field activity (Saponaro et al, 2018). Therefore, a specific code has been developed in the R environment in order to analyse the correlation coefficient and the spatial distribution of the committed error.…”

Section: Photogrammetric Outcomes Generationmentioning

confidence: 99%

Innovative method for linking anthropisation process to vulnerability

Capolupo

Boccia

2021

WRSTSD

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Coastal areas have been gradually modified by humans to face emerging social needs. This phenomenon can be traced in the Amalfi Coast (Southern Italy) through the presence of terraces, constructed to make its steep slope habitable and arable. The current research is aimed to investigate the anthropisation process in Minori, and to identify the most vulnerable areas where debris flows. Two photogrammetric datasets, acquired in 1956 and 2017, respectively, were processed to generate two fine resolution digital elevation models and orthophotos, applied to calculate the normalised remaining vegetation index, the digital elevation model of differences, the new vulnerability expeditious index. The two orthophotos were also classified by applying the OBIA approach for extracting terraced areas. An increment of 800% of man-made infrastructures was detected, while the extension and the location of terraces was not subjected to any transformation. This implies a strong increment of vulnerability in the Minori municipality.

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“…(a) is intended to remove points with low base-height ratios [49], i.e., all those points located at the edges of images, generally characterized by a higher degree of restitution uncertainty, that majorly depends on a too small overlapping among pictures. Although this option does not affect final accuracy, it is useful for thinning clouds [56]. Conversely, (b) is aimed at detecting and cleaning out less reliable tie points [49].…”

Section: Third Step: Filtering and Georeferencingmentioning

confidence: 99%

Combining Interior Orientation Variables to Predict the Accuracy of Rpas–Sfm 3D Models

et al. 2020

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Remotely piloted aerial systems (RPAS) have been recognized as an effective low-cost tool to acquire photogrammetric data of low accessible areas reducing collection and processing time. Data processing techniques like structure from motion (SfM) and multiview stereo (MVS) techniques, can nowadays provide detailed 3D models with an accuracy comparable to the one generated by other conventional approaches. Accuracy of RPAS-based measures is strongly dependent on the type of adopted sensors. Nevertheless, up to now, no investigation was done about relationships between camera calibration parameters and final accuracy of measures. In this work, authors tried to fill this gap by exploring those dependencies with the aim of proposing a prediction function able to quantify the potential final error in respect of camera parameters. Predictive functions were estimated by combining multivariate and linear statistical techniques. Four photogrammetric RPAS acquisitions were considered, supported by ground surveys, to calibrate the predictive model while a further acquisition was used to test and validate it. Results are preliminary, but promising. The calibrated predictive functions relating camera internal orientation (I.O.) parameters with final accuracy of measures (root mean squared error) showed high reliability and accuracy.

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Geometric Accuracy Evaluation of Geospatial Data Using Low-Cost Sensors on Small UAVs

Cited by 11 publications

References 13 publications

Assessing the Impact of the Number of GCPS on the Accuracy of Photogrammetric Mapping from UAV Imagery

Assessing the Impact of the Number of GCPS on the Accuracy of Photogrammetric Mapping from UAV Imagery

Innovative method for linking anthropisation process to vulnerability

Combining Interior Orientation Variables to Predict the Accuracy of Rpas–Sfm 3D Models

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