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首页> 外文期刊>Acta Geophysica Polonica >A LEAST AREA APPROACH OF HOUGH TRANSFORM FOR PATTERN RECOGNITION IN SEISMIC REFLECTION
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A LEAST AREA APPROACH OF HOUGH TRANSFORM FOR PATTERN RECOGNITION IN SEISMIC REFLECTION

机译:地震反射模式识别的HOUGH变换的最小面积方法

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摘要

The intensive computational complexity, storage requirement, recognition of envelopes with parametric equations have rendered the standard Hough Transform inferior to the intellectual mechanism of human's visual recognition. In this paper, a Modified Generalized Hough Transform is proposed which implements parametric equation of a straight line to establish relationship among various samples lying on a seismic reflector. It performs thresholding, demarcation of interfaces in each window, establishment of continuity of interfaces from one window to another and mid-point smoothing. Based on its application on a zero-offset synthetic seismo-gram and a migrated CDP section presented here, the algorithm is found to be sensitive to the choice of window length. A time window of six samples or less with an equal degree of scrolling seems to be best suited for pattern recognition using this technique. However, a trade-off is necessary between the window length and the amount of overlap to obtain better reflection continuity.
机译:密集的计算复杂性,存储要求,使用参数方程式识别信封已使标准Hough变换劣于人类视觉识别的智能机制。本文提出了一种修正的广义霍夫变换,它实现了一条直线的参数方程,从而建立了位于地震反射器上的各种样本之间的关系。它执行阈值化,每个窗口中的界面划分,建立从一个窗口到另一个窗口的接口的连续性以及中点平滑处理。基于该算法在零偏移合成地震图和此处显示的偏移CDP剖面上的应用,发现该算法对窗口长度的选择很敏感。滚动度相等的六个样本或更少的时间窗口似乎最适合使用此技术进行模式识别。但是,为了获得更好的反射连续性,必须在窗口长度和重叠量之间进行权衡。

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