利用数字高程模型自动检测火星表面陨石坑
Automatic Detection of Martian Impact CratersBased on Digital Elevation Model
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摘要: 为了克服利用影像识别陨石坑的诸多限制因素,利用“火星全球勘探者”(MGS)火星激光高度计(MOLA)得到的火星三维DEM数据,转换获得地形曲率,然后利用设定阈值将曲率图转换为二值图像,结合图像分割floodin算法可以得到待检测陨石坑,最后利用Hough变换可以检测出陨石坑。其成功率达到73.4%,可以有效地从DEM中识别陨石坑。利用DEM识别陨石坑的方法可以识别更多新的陨石坑,为现存的陨石坑目录提供新的数据信息。Abstract: Due to uncertainties of illumination and incidence in image processing,a method that impact craters are automatically detected and recognized based on the DEM from Mars Orbiter Laser Altimetery (MOLA) aboard Mars Global Surveyor (MGS) is proposed in this paper.Topographic curvature,which delineates impact craters,can be deduced from topography data.The thresholding map of curvature is transformed in to a binary map,from which we can detect impact craters by combination of segmentation and flooding algorithms.The true rate is 73.4% in detecting craters.More impact craters on Mars with confirmation algorithm can be effectively detected truly,which are added to the existing catalog of manually identified Martian craters.