Photogrammetric products obtained by processing data acquired with Unmanned Aerial Vehicles (UAVs) are used in many fields. Various structures are analysed, including roads. Many roads located in cities are characterised by heavy traffic. This makes it impossible to avoid the presence of cars in aerial photographs. However, they are not an integral part of the landscape, so their presence in the generated photogrammetric products is unnecessary. The occurrence of cars in the images may also lead to errors such as irregularities in digital elevation models (DEMs) in roadway areas and the blurring effect on orthophotomaps. The research aimed to improve the quality of photogrammetric products obtained with the Structure from Motion algorithm. To fulfil this objective, the Yolo v3 algorithm was used to automatically detect cars in the images. Neural network learning was performed using data from a different flight to ensure that the obtained detector could also be used in independent projects. The photogrammetric process was then carried out in two scenarios: with and without masks. The obtained results show that the automatic masking of cars in images is fast and allows for a significant increase in the quality of photogrammetric products such as DEMs and orthophotomaps.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products


    Beteiligte:


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Performance analysis of YOLO versions for automatic vehicle detection from UAV images

    Uzar, Melis / Öztürk, Şennur / Bayrak, Onur Can et al. | BASE | 2021

    Freier Zugriff

    Improved Vehicle Detection and Tracking Using YOLO and CSRT

    Amitha, I. C. / Narayanan, N. K. | Springer Verlag | 2021


    Enhanced Vehicle Plate Identification using YOLO

    N, Gayana M / Jane Crasta, Alonie / Acharya, Shreenath et al. | IEEE | 2022



    Ship detection using SAR images based on YOLO at Cyprus’s coast

    Melillos, George / Hadjimitsis, Diofantos G. | SPIE | 2022