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Integrated method for crater detection from topography and optical images and the new PH9224GT catalogue of Phobos impact craters

机译:用于从地形和光学图像检测火山口的集成方法以及火卫一撞击坑的新PH9224GT目录

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摘要

In a large majority of lunar and planetary surface images, impact craters are the most abundant geological features. Therefore, it is not surprising that crater detection algorithms (CDAs) are one of the most studied subjects of image processing and analysis in lunar and planetary science. In this work we are proposing an Integrated CDA, consisting of: (1) utilization of DEM (digital elevation map)-based CDA; (2) utilization of an optical-based CDA; (3) re-projection of used datasets and crater coordinates from normal to rotated view and back; (4) correction of the brightness and contrast of a used optical image; and (5) tile generation for the optical-based CDA and an assembling of results with an elimination of multiple detections, in combination with a pyramid approach down to the resolution of the available DEM image; and (6) a final integration of the results of DEM-based and optical-based CD As, including a removal of duplicates. The proposed CDA is applied to one specific asteroid-like body, the small Martian moon Phobos. The experimental evaluation of the proposed CDA is done by a manual verification of crater-candidates and a search for uncatalogued craters. The evaluation has shown that the proposed CDA was used successfully for cataloging Phobos craters. The major result of this paper is the PH9224GT - currently the most complete global catalogue of the 9224 Phobos craters. The possible applications of the new catalogue are: (1) age estimations for any selected location; and (2) comparison/evaluation of the different chronology and production functions for Phobos. This confirms the practical applicability of the new Integrated CDA - an additional result of this paper, which can be used in order to considerably extend the current crater catalogues.
机译:在大多数月球和行星表面图像中,撞击坑是最丰富的地质特征。因此,火山口检测算法(CDA)成为月球和行星科学中图像处理和分析研究最多的主题之一也就不足为奇了。在这项工作中,我们提出了一个集成CDA,其中包括:(1)利用基于DEM(数字高程图)的CDA; (2)利用基于光学的CDA; (3)将使用过的数据集和火山口坐标从法线视图旋转到投影视图再投影; (4)校正所使用的光学图像的亮度和对比度; (5)结合基于金字塔的方法降低可用的DEM图像的分辨率,从而生成基于光学的CDA的图块并合并结果并消除多次检测。 (6)最后整合基于DEM和基于光学的CD As的结果,包括删除重复项。拟议中的CDA应用于一种特定的小行星状天体,即火星小火卫一。建议的CDA的实验评估是通过人工验证陨石坑候选人并寻找未编目的陨石坑来进行的。评估表明,建议的CDA已成功用于对火卫一陨石坑进行分类。本文的主要成果是PH9224GT-目前是9224个火卫一陨石坑的最完整的全球目录。新目录的可能应用是:(1)任何选定位置的年龄估计; (2)比较/评估Phobos的不同时间顺序和生产功能。这证实了新的集成CDA的实际适用性-本文的另一个结果,可以用来大大扩展当前的陨石坑目录。

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  • 来源
    《Advances in space research》 |2014年第12期|1798-1809|共12页
  • 作者单位

    AVL-AST d.o.o., Av. Dubrovnik 10/Ⅱ, 10020 Zagreb-Novi Zagreb, Croatia ,Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia;

    Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia;

    Instituto Superior Tecnico/Centro de Recursos Naturais e Ambiente (IST/CERENA), Universidade Tecnica de Lisboa, 1049-001 Lisboa, Portugal;

    Instituto Superior Tecnico/Centro de Recursos Naturais e Ambiente (IST/CERENA), Universidade Tecnica de Lisboa, 1049-001 Lisboa, Portugal;

    Instituto Superior Tecnico/Centro de Recursos Naturais e Ambiente (IST/CERENA), Universidade Tecnica de Lisboa, 1049-001 Lisboa, Portugal;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Phobos; Surface; Cratering; Crater detection algorithm;

    机译:火卫一;表面;火山口;火山口检测算法;

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