无人机图像矫正方法在河流表面流速测量中的应用

Application of UAV Image Correction Method in River Surface Velocity Measurement

使用无人机影像作为分析对象进行河流表面流速测量时,无人机的晃动会造成拍摄画面的晃动,导致测量结果出现较大误差。针对这一问题,利用无人机记录的飞行信息,通过开发使用参照点和不使用参照点的两种无人机影像矫正方法,便捷快速地实现了无人机影像的正射矫正,有效解决了无人机晃动对流速测量结果的影响,并结合优化后的图像测速分析手段,在试验河道和自然河流两种不同的环境中进行了现场流速测定,均获得了比较准确的河流表面流速测量结果。

In the process of UAV image used as an analysis object to measure the river surface velocity,the shaking of UAV will cause the shaking of the shooting picture,resulting in comparatively great errors in the measurement results.In view of this flaw,based on the flight information recorded by UAV,two UAV image correction methods,with and without the reference point,are developed respectively,thus realizing the orthophoto correction of UAV image conveniently and quickly,followed by an effective solution of problem of the negative influence of UAV shaking on the velocity measurement results.Combined with the optimized image velocity measurement and analysis method,the field velocity measurement is carried out in experimental river as well as natural river,thus obtaining more accurate measurement results of river surface velocity.