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Volcanic edifice alignment detection software in MATLAB: Test data and preliminary results for shield fields on Venus

机译:MATLAB中的火山高层对齐检测软件:金星上的屏蔽场的测试数据和初步结果

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The scarcity of impact craters on Venus make it difficult to infer the relative ages of geologic units. Stratigraphic methods can be used to help infer the relative ordering of surface features, but the relatively coarse resolution of available radar data means ambiguity about the timing of certain features is common. Here we develop a set of statistical tools in MATLAB to help infer the relative timing between clusters of small shield volcanoes and sets of fractures in the surrounding terrain. Specifically, we employed two variants of the two-point azimuth method to detect anisotropy in the distribution of point like features. The results of these methods are shown to successfully identify anisotropy at two spatial scales: at the whole-field level and at scales smaller than a set fraction of the mean value. Initial results on the test cases presented here are promising, at least for volcanic fields emplaced under uniform conditions. These methods could also be used for detecting anisotropy in other point-like geologic features, such as hydrothermal vents, springs, and earthquake epicenters. (C) 2016 Elsevier Ltd. All rights reserved.
机译:金星上撞击坑的稀缺性使得很难推断出地质单元的相对年龄。可以使用地层学方法来帮助推断表面特征的相对顺序,但是可用雷达数据的相对较粗糙的分辨率意味着在某些特征的时间安排上存在歧义是很常见的。在这里,我们在MATLAB中开发了一套统计工具,以帮助推断小盾构火山群与周围地形中的裂缝之间的相对时间。具体来说,我们采用了两点方位角方法的两个变体来检测点状特征分布中的各向异性。结果表明,这些方法的结果可以成功地在两个空间尺度上识别各向异性:在整个视野范围内,并且尺度小于平均值的设定分数。这里介绍的测试案例的初步结果是有希望的,至少对于在统一条件下放置的火山场而言。这些方法还可用于检测其他点状地质特征中的各向异性,例如热液喷口,泉水和地震震中。 (C)2016 Elsevier Ltd.保留所有权利。

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