| Summary: | 碩士 === 國立臺北科技大學 === 土木與防災研究所 === 101 === Benefits of the advancing of informatics, remote-sensing and electric technologies, the Unmanned Aerial Vehicle (UAV) photogrammetry has been improved significantly. In recent years unmanned aerial vehicles have begun to be used increasingly in security intelligence gathering, disaster prevention, military applications, large celebrations ... etc. , while the UAVS integrates a miniaturized commercial GPS and an Inertial Navigation System(INS). In this studied we try to evaluate the Microdrones MD4-1000 UAV airphotos derived Digital Terrain Model (DTM).
This research, Houshanyue , Kungfu and other regions, use unmanned aerial vehicles to obtain the latest images of the area, the application Pix4UAV to build digital terrain model. Both used the real-time kinematic to measurements ground control points data and Lidar data to build Digital Terrain Model. Furthermore, according to the DTM , the Precision Control Index is used to assess the DSM Average Vertical Error, Standard Deviation, Worse Maximum, and Worse Minimum, forming Error Normal Distribution whose Peak Graph help us ensure that the accuracy is in ideal condition. In this study, based on the Lidar DSM and DEM data as a benchmark, to assess the value of the DTM accuracy assessment.
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