摘要
针对巡视器重建DEM影像人工识别撞击坑中心点位置繁琐且易出错的问题,提出了一种撞击坑中心点自动提取和修正的算法。算法应用三次样条插值和滑动指针法提取8个坑唇点信息,再利用最优化代价函数进行圆拟合,并通过对中心点进行迭代更新得到较真正的DEM中的撞击坑中心点。通过与人工提取的检校识别结果对比表明,96%的撞击坑中心得到了有效修正。剖面线与深径比抽样结果进一步证明,97.81%的撞击坑剖面线提取检校结果一致。总体而言,该撞击坑数据中心点自动校正方法大大减少了人工识别的工作量,提高了撞击坑中心点提取的准确性,为区域小尺寸撞击坑形态参数自动提取提供了关键基础。
To solve the problem of manually identify the position of crater centres in the DEM images reconstructed by the rover,as manual identifying is complex and easy to mistake,this paper proposes an algorithm for automatically extracting and correcting the crater centres.The algorithm applies cubic spline interpolation and sliding pointer algorithm to extract eight crater lips,and then uses the method of optimal cost function to fit the circle,and finally iteratively updates the centres to obtain the more genuine impact crater centres in the DEM.Comparison with the manually extracted and calibrated identification results shows that 96%of the impact crater centres are effectively corrected,and the sampling results of the profile line and depth-to-diameter ratios further demonstrate that 97.81%of the impact crater profiles are extracted and calibrated consistently.The method of automatic correction of impact crater centres in this paper greatly reduces the workload of manual identification,improves the accuracy of impact crater centroids extraction,and provides a key foundation for the automatic extraction of morphological parameters of small-size impact craters in the region.
作者
陈美希
胡腾
马欣雨
肖萌
CHEN Meixi;HU Teng;MA Xinyu;XIAO Meng(School of Land Science and Technology,China University of Geosciences,Beijing 100083,China;Subcenter of International Cooperation and Research on Lunar and Planetary Exploration,Center of Space Exploration,Ministry of Education of the People’s Republic of China,Beijing 100083,China)
出处
《遥感信息》
CSCD
北大核心
2024年第5期102-110,共9页
Remote Sensing Information
基金
国家自然科学基金(41872207)。
