A Change Detection Method Using Point Cloud of UAV Images:A Case Study on Highway Construction Process
In this paper,a new method of change detection based on point cloud of unmanned aerial vehicle(UAV) imag-es is proposed. Firstly,the UAV is used to acquire image da-tasets with different time phases of the target,and a dense 3D point cloud is generated through a multimetric semi-global matching algorithm. Then,a digital surface model is estab-lished via a local split-box algorithm,and the change area is detected by comparing the difference between the digital sur-face models of different phases by setting a threshold value. Taking the highway construction process as a study case,the results show that compared with the methods based on optical images and LiDAR,the method proposed has high resolution,low cost,and high accuracy,which is more consistent with the real change information,and the average change detection quality is about 83.29％,which can be used for change infor-mation extraction of different features in different periods.
UAVpoint cloud of imageschange detectiondigital surface models
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