高技术通讯2017，Vol.27Issue(3)：193-202,10.DOI:10.3772/j.issn.1002-0470.2017.03.001
自适应聚类Hough变换及地震断层检测
Adaptive clustering Hough transform and fault detection
摘要
Abstract
In consideration of the problem that the traditional Hough transform based methods for seismic fault detection can only detect single fault while multiple faults can not be detected accurately, a new fault detection method based on adaptive clustering Hough transform was proposed.The method is described below: Firstly, edge detection is performed on the pre-processed seismic coherent image and the Hough transform of the edge image is performed to detect line segments.Then, the line segments are clustered adaptively according to their inclination angle and position to obtain a more complete line segment.Finally, each point on the complete line segment is optimized according to the original seismic image to make the fault more accurate and smoother.To berify the effectiveness of the proposed method, the experiments were done on real seismic images.The experimental results indicated that multiple faults in seismic images were detected correctly by the proposed method.The correct rate was above 90%, and the peak signal noise ratio was improved by 10% compared with current algorithms.关键词
Hough变换/地震图像/线段/断层检测/自适应聚类Key words
Hough transform/seismic image/line/fault detection/adaptive clustering引用本文复制引用
陈雷,肖创柏,禹晶,张亚红,王真理..自适应聚类Hough变换及地震断层检测[J].高技术通讯,2017,27(3):193-202,10.基金项目
国家自然科学基金(61501008)和北京市自然科学基金(4162007)资助项目. （61501008）
