The intelligent model of remote sensing UAV low altitude photography based on convolutional neural network used to measure earthworks
In order to solve the problems such as low efficiency,low accuracy and large impact of terrain on traditional earthwork measurement methods,this study proposed a remote sensing UAV low altitude photography intelligent model based on convolutional neural network algorithm to measure earthwork.Firstly,the intelligent model of remote sensing UAV low altitude photography based on convolutional neural algorithm is studied to measure earthworks.Secondly,based on the improved convolutional neural network al-gorithm,the intelligent model of remote sensing UAV low-altitude photography is constructed.Finally,the results of this research model are analyzed,and the research model and the earthmoving measurement model based on TSS technology are tested in the earth-moving area measurement experiment of 384000m2.According to the results,the earthmoving area measured by this research model is 383 980 m2.The earthmoving measurement model based on TSS technology measured an area of 380 000 m2.In summary,the re-search model can effectively extract earthwork features from images taken by drones and generate accurate earthwork measurement re-sults.
万方数据
维普
