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has been cited by the following article:

• TITLE: Precision Assessment of UAVRS Based DSM in Disaster Emergency

  AUTHORS: Yumin Tan, Lingfeng He, Linjie Bai

  KEYWORDS: High Cut Slope, Digital Surface Model (DSM), Slope Photography, Geometric Accuracy, Unmanned Aerial Vehicle (UAV)

  JOURNAL NAME: Advances in Remote Sensing, Vol.5 No.3, September 29, 2016

  ABSTRACT: Ground control point (GCP) is important for georeferencing remotely sensed images and topographic model. However, considering that GCP collection is sometimes a difficult, time-consuming and expensive task with high resolution (HR) data in remote and harsh environments, today unmanned aerial vehicle based remote sensing (UAVRS) is frequently used in geological disaster emergency monitoring and rescuing for its great advantage in collecting timely onsite images. In this paper, for evaluating the feasibility of the UAVRS in disaster emergency and high cut slope safety monitoring, the digital surface model (DSM) without GCPs based on Structure from Motion (SfM) is accessed, and results showed that the geometric accuracy of DSM was smaller than 1 percent, which prove the usefulness of DSM based on UAVRS in emergency. Comparing to normal disaster emergency, the method without GCPs can be more efficient and save the disaster emergency time by neglecting GCPs measurement.