地震灾后区域无人机GPS遥感定位技术研究

传统基于云计算的地理位置定位方法进行目标定位时需要分析大量的地理数据信息,造成目标定位过程复杂且容易出现定位差错。提出新的地震灾后区域无人机GPS遥感定位方法,其功能包括遥感传感子系统、遥感空中控制子系统、无人机平台、无人机地面控制子系统、三维模型影像重建以及目标定位分析。重建地震灾区的三维影像模型时,先提取地震灾区的DEM数据,将无人机GPS遥感测量得到的影像纹理映射到DEM上,构建地震灾区的三维地物模型;目标定位分析采用测距目标定位法,利用无人机在不同位置对目标进行定位分析,实现对地震灾后区域的定位分析,得到目标的坐标结果。实验结果说明,所提方法能提高目标定位的精度,缩短目标定位用时。

GPS Remote Sensing Positioning Technology for UnmannedAerial Vehicle in Post-earthquake Area

The traditional location method based on cloud computing needs to analyze a large amount of geographic data, leading to a complex location process and errors in the location results. Therefore, this study puts forward a new unmanned aerial vehicle (UAV) global positioning system (GPS) remote sensing location method in a post-earthquake area. Its functions include the sensing subsystem, remote sensing air control subsystem, UAV platform, UAV ground control subsystem, three-dimensional (3D) model image reconstruction, and target location analysis. In reconstructing the 3D image model of the earthquake disaster area, we first extracted the digital elevation model (DEM) data of the area, then mapped the image texture measured by UAV GPS remote sensing to the DEM. We used the ranging target positioning method to perform the target localization analysis. The UAV was used in different positions to locate the target to realize the location analysis of the post-earthquake area and obtain the target coordinate. The experimental results showed that the proposed method can improve the precision of the target location and shorten the time of the target location.