ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 37–43, 2018
https://doi.org/10.5194/isprs-annals-IV-3-37-2018
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-3, 37–43, 2018
https://doi.org/10.5194/isprs-annals-IV-3-37-2018

  23 Apr 2018

23 Apr 2018

UAV-BASED 3D URBAN ENVIRONMENT MONITORING

Wuttichai Boonpook1, Yumin Tan1, Huaqing Liu2, Binbin Zhao2, and Lingfeng He1 Wuttichai Boonpook et al.
  • 1School of Transportation Science and Engineering, Beihang University, Beijing, China
  • 2China Electric Power Research Institute, Beijing 100192, China

Keywords: DSM, UAV image, change detection, georeferenced data, urban environment monitoring

Abstract. Unmanned Aerial Vehicle (UAV) based remote sensing can be used to make three-dimensions (3D) mapping with great flexibility, besides the ability to provide high resolution images. In this paper we propose a quick-change detection method on UAV images by combining altitude from Digital Surface Model (DSM) and texture analysis from images. Cases of UAV images with and without georeferencing are both considered. Research results show that the accuracy of change detection can be enhanced with georeferencing procedure, and the accuracy and precision of change detection on UAV images which are collected both vertically and obliquely but without georeferencing also have a good performance.