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Automatic detection of circular outlines in regional gravity and aeromagnetic data in the search for impact structure candidates

机译:自动搜索区域重力和航磁数据中的圆形轮廓,以寻找碰撞结构候选者

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摘要

A new automatic search algorithm based on circular data features has been applied to gravity and aeromagnetic regional data to detect impact structure candidates. Additionally, field investigations and laboratory analyses are needed to reach final conclusions. Compared to other Fennoscandian countries, the number of Norwegian impact structures is low such that the potential to find new ones should be high. This situation initiated the search for new impact structures in Finnmarksvidda (Northern Norway), an area of Precambrian basement rocks. Fresh impact craters are characterized by circular shapes, a pattern which also could be reflected in their geophysical potential fields. The presented algorithm calculates the amount of pixels in a given radius having a gradient direction towards a centre pixel. The algorithm differs from the commonly used circular Hough transform as it operates without an edge detection requirement. The algorithm detected a high number of features that were refined and reduced before field work by manual visual comparison to geologic and topographic maps.
机译:一种新的基于圆形数据特征的自动搜索算法已应用于重力和航磁区域数据,以检测碰撞结构候选。此外,需要进行现场调查和实验室分析才能得出最终结论。与其他芬诺斯堪的亚国家相比,挪威的影响结构数量少,因此寻找新的影响结构的可能性应该很高。这种情况开始在前寒武纪基底岩石区域Finnmarksvidda(挪威北部)中寻找新的撞击结构。新鲜的撞击坑以圆形为特征,这种形状也可以反映在其地球物理势场中。提出的算法计算在给定半径内具有朝向中心像素的梯度方向的像素数量。该算法与通常使用的圆形霍夫变换不同,因为它无需边缘检测即可运行。该算法检测到大量的特征,这些特征在野外工作之前通过与地质图和地形图进行手动视觉比较而得以完善和缩小。

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