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.
Boonpook, W., Tan, Y., Liu, H., Zhao, B., & He, L. (2018). UAV-BASED 3D URBAN ENVIRONMENT MONITORING. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 4, pp. 37–43). Copernicus GmbH. https://doi.org/10.5194/isprs-annals-IV-3-37-2018