On the applicability of integrated UAV photogrammetry and automatic feature extraction for cadastral mapping

• Autorzy: Ajayi Oluibukun Gbenga , Oruma Emmanuel

Identyfikatory

DOI

10.24425/gac.2022.141172

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

land management; remote sensing applications; image segmentation; automatic boundary extraction; UAV mapping

PL

zarządzanie gruntami; segmentacja obrazu; mapowanie

• Wydawca: Komitet Geodezji PAN
• Czasopismo: Advances in Geodesy and Geoinformation
• Rocznik: 2022
• Tom: Vol. 71, no. 1
• Strony: art. no. e19, 2022
• Opis fizyczny: Bibliogr. 48 poz., rys., tab.

Twórcy

autor

Ajayi Oluibukun Gbenga

• Federal University of Technology, Minna, Nigeria

• https://orcid.org/0000-0002-9467-3569

autor

Oruma Emmanuel

• Federal University of Technology, Minna, Nigeria

• https://orcid.org/0000-0002-9467-3569

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Uwagi

PL

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)