“全国矿产资源利用现状调查”是我国矿产资源领域的一项重要国情调查,矿山位置是影响其结果可靠性的关键因素。针对部分矿山地理位置不准,突破传统实地核查模式,结合矿山等高线及地形特征点云数据,运用改进SURF算子分块匹配方法,进行矿山图像与基准图像自动配准研究,实现矿山位置快速定位。实验结果证明,改进后的SURF算子对于存在旋转、偏移问题的矿山图像与基准图像的匹配速度快,且具有很好的鲁棒性,对中小比例尺的矿山图像达到了较高的匹配效果,为矿山快速精准定位提供了一种新的方法。
"National Mineral Resource Utilization Survey" is an important national conditions survey in the field of mineral resources. Mine location is a key factor affecting the reliability of the results. Aiming at the problem of some inaccurate mine location, this paper breaks the traditional field verification mode, combined with mine contour and terrain feature point cloud data, with the improved SURF operator that the block matching method, studies the mine image with the reference image automatic registration, achieves to locate mine location quickly. The experimental results show that the improved SURF operator has rapid matching speed and good robustness to the mine with rotation and offset problem, achieves a higher matching result to medium and small scale mine image, provides a new approach for fast and accurate mine positioning.