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    Wyświetlanie 1-3 z 3
    Tytuł:
    Performance evaluation of different selected UAV image processing software on building volume estimation
    Autorzy:
    Ajayi, Oluibukun Gbenga
    Ogundele, Bolaji Saheed
    Aleji, Gideon Abidem
    Powiązania:
    https://bibliotekanauki.pl/articles/43852779.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    budynek
    bezzałogowy statek powietrzny (UAV)
    modelowanie 3D
    building information modelling
    Unmanned Aerial Vehicle
    UAV mapping
    3D modelling
    image processing software
    Opis:
    The aim of this research is to evaluate the performance of four UAV image processing software for the automatic estimation of volumes based on estimated volume accuracy, spatial accuracy, and execution time, with and without Ground Control Points (GCPs). A total of 52 images of a building were captured using a DJI Mavic Air UAV at 60m altitude and 80% forward and side overlap. The dataset was processed with and without GCPs using Pix4DMapper, Agisoft Metashape Pro, Reality Capture, and 3DF Zephyr. The UAV-based estimated volume generated from the software was compared with the true volume of the building generated from its as-built 3D building information modeled in Revit 2018 environment. The resulting percentage difference was computed. The average volumes estimated from the four software with the use of GCPs were 4757.448 m3 (3.87%), 4728.1 m3 (2.54%), 4291.561 m3 (11.5%), and 4154.938 m3 (14.35%), respectively. Similarly, when GCPs were not used for the image processing, average volumes of 4631.385 m3 (4.52%), 4773.025 m3 (1.6%), 4617.899 m3 (4.89%), and 4420.403 m3 (8.92%) were obtained in the same order. In addition to the volume estimation analysis, other parameters, including execution time, positional RMSE, and spatial resolution, were evaluated. Based on these parameters, Agisoft Metashape Pro proved to be more accurate, time-efficient, and reliable for volumetric estimations from UAV images compared to the other investigated software. The findings of this study can guide decision-making in selecting the appropriate software for UAV-based volume estimation in different applications.
    Źródło:
    Advances in Geodesy and Geoinformation; 2023, 72, 1; art. no. e39, 2023
    2720-7242
    Pojawia się w:
    Advances in Geodesy and Geoinformation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the applicability of integrated UAV photogrammetry and automatic feature extraction for cadastral mapping
    Autorzy:
    Ajayi, Oluibukun Gbenga
    Oruma, Emmanuel
    Powiązania:
    https://bibliotekanauki.pl/articles/43852813.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    zarządzanie gruntami
    segmentacja obrazu
    mapowanie
    land management
    remote sensing applications
    image segmentation
    automatic boundary extraction
    UAV mapping
    Opis:
    The applicability of integratedUnmannedAerialVehicle (UAV)-photogrammetry and automatic feature extraction for cadastral or property mapping was investigated in this research paper. Multi-resolution segmentation (MRS) algorithm was implemented on UAVgenerated orthomosaic for mapping and the findings were compared with the result obtained from conventional ground survey technique using Hi-Target Differential Global Positioning System (DGPS) receivers. The overlapping image pairs acquired with the aid of a DJI Mavic air quadcopter were processed into an orthomosaic using Agisoft metashape software while MRS algorithm was implemented for the automatic extraction of visible land boundaries and building footprints at different Scale Parameter (SPs) in eCognition developer software. The obtained result shows that the performance of MRS improves with an increase in SP, with optimal results obtained when the SP was set at 1000 (with completeness, correctness, and overall accuracy of 92%, 95%, and 88%, respectively) for the extraction of the building footprints. Apart from the conducted cost and time analysis which shows that the integrated approach is 2.5 times faster and 9 times cheaper than the conventional DGPS approach, the automatically extracted boundaries and area of land parcels were also compared with the survey plans produced using the ground survey approach (DGPS) and the result shows that about 99% of the automatically extracted spatial information of the properties fall within the range of acceptable accuracy. The obtained results proved that the integration of UAVphotogrammetry and automatic feature extraction is applicable in cadastral mapping and that it offers significant advantages in terms of project time and cost.
    Źródło:
    Advances in Geodesy and Geoinformation; 2022, 71, 1; art. no. e19, 2022
    2720-7242
    Pojawia się w:
    Advances in Geodesy and Geoinformation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Investigating the applicability of unmanned aerial vehicles (uav) photogrammetry for the estimation of the volume of stockpiles
    Autorzy:
    Ajayi, Oluibukun Gbenga
    Ajulo, John
    Powiązania:
    https://bibliotekanauki.pl/articles/1050771.pdf
    Data publikacji:
    2021-03-31
    Wydawca:
    Uniwersytet im. Adama Mickiewicza w Poznaniu
    Tematy:
    stockpiles
    earthworks
    volumetric computations
    ground survey
    UAV photogrammetry
    Opis:
    Accurately estimating the volume of earthworks is very important in mining engineering and construction. This estimation can be difficult because of the morphological condition of the stockpiles, hence, devising simpler, yet accurate methods of stockpile volume estimation is still a research problem in mining. Two non-invasive survey methods were compared in this research: the conventional ground-based and UAV-approach, for the survey of a twin-stockpile of gravel using Leica TS06 Total Station and DJI Mavic Air UAV, respectively. About 128 images of the area were acquired at 50 m flying height and 75% overlap during the flight mission. The images were processed using Agisoft Metashape Pro; a digital photogrammetric software, and the DEM obtained was used for the volume estimation. The total station data was also processed in ArcGIS to generate a TIN-model from which the volume was also estimated. The volume estimated from the TIN-model was compared with the volume estimated from the UAV-based DEM, using the volume obtained from the mill-machine as the standard. The obtained result shows that while 2750 m³ was obtained as the cumulative volume from the mill machine, the UAV approach yielded 2686.252 m³ and the ground survey approach gave 2830.713 m³. The percentage difference between the two methods compared to the actual volume is 2.94% and −2.31%, respectively. These results, and the result of the processing time analysis show that UAV approach is both accurate and time economical, which attests to the potentials of low-cost UAVs to provide robust alternative to the time-consuming and rigorous ground survey approach.
    Źródło:
    Quaestiones Geographicae; 2021, 40, 1; 25-38
    0137-477X
    2081-6383
    Pojawia się w:
    Quaestiones Geographicae
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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