无人机遥感测绘技术在矿山地质测绘中的应用研究

Application of UAV Remote Sensing Surveying and mapping technology in mine geological surveying and mapping

传统矿山地质测绘方法中对于矿山的地物分类精度不高,因此设计一种基于无人机遥感的矿山地质测绘方法。设计无人机遥感测绘装置,优化具体航拍流程,为了保证畸变发生概率较小,需要布设像控点,控制平面点位误差和高程点位误差,在卷积神经网络的基础上对遥感成像提取到的地物进行辨识,利用三维数据建模实现矿山地质测绘。在测绘方法性能测试结果中显示,设计的方法在不同地物分类精度更高。

In the traditional mine geological mapping methods,the classification accuracy of mine surface features is not high,so a mine geological mapping method based on UAV remote sensing is designed.The UAV remote sensing mapping device is designed to optimize the specific aerial photography process.In order to ensure that the distortion probability is small,the image control points need to be arranged to control the plane point error and elevation point error.The ground objects extracted from remote sensing imaging are identified on the basis of convolution neural network,and the mine geological mapping is realized by using three-dimensional data modeling.In the performance test results of Surveying and mapping methods,the designed method has higher classification accuracy in different features.