Application of A Drone Camera in Detecting Road Surface Cracks: A UAE Testing Case Study

Khaula Alkaabi, Abdel Rhman El Fawair

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


This research aims to introduce DJI Phantom 4 Pro, and its process of calibration and image processing. To get accurate aerial photos, a camera calibration process has been applied to find the true parameters (e.g., focal length, format size, principal point, and lens distortion) of the camera that took the photographs. Results from the point of view of variance factor confirmed the reliability of this camera for photogrammetric work. This study also calculates the 3D coordinates of unknown points on the ground and added Photogrammetric Derivatives DEM and accurate Digital Orthophotos to check the road condition. It is difficult to precisely identify them using publicly accessible standard satellite imagery (including the three multispectral bands (G, R, NIR) with resolutions of 20 meters). Agisoft software has been used for image analysis and for accuracy checking to detect street cracks to provide recommendations and guidance to the related planning entity for maintenance. Captured aerial crack images were processed using Agisoft software, from which orthophotos were produced and potential cracks identified. Moreover, the study aims to achieve optimal quality in a road 3D model using MMS and to determine the number of control points or sections needed to create an accurate 3D model of the road to be used as initial data information in the rehabilitation process by detecting the cracks in the roads.

Original languageEnglish
Pages (from-to)221-239
Number of pages19
JournalArab World Geographer
Issue number3
Publication statusPublished - Sept 1 2021


  • Aerial Image
  • Drone Technology
  • MMS
  • Orth Mosaic
  • Street Crack Detection

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes


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