利用各方向均方差相关系数进行位场边界检测

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Bibliography:	Edge detection; Correlation coefficient; multidirectional standard deviation; Bouguer anomaly Xu Meng-Long;Yang Chang-Bao;Wu Yan-Gang;Chen Jing-Yi;Huan Heng-Fei （ 1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China. 2. Department of Geosciences, The University of Tulsa, Oklahoma 74104, USA. 3. Shenyang Institute of Geology and Mineral Resources, Shenyang 110034, China.） 11-5212/O Most edge-detection methods rely on calculating gradient derivatives of the potential field, a process that is easily affected by noise and is therefore of low stability. We propose a new edge-detection method named correlation coefficient of multidirectional standard deviations（CCMS） that is solely based on statistics. First, we prove the reliability of the proposed method using a single model and then a combination of models. The proposed method is evaluated by comparing the results with those obtained by other edge-detection methods. The CCMS method offers outstanding recognition, retains the sharpness of details, and has low sensitivity to noise. We also applied the CCMS method to Bouguer anomaly data of a potash deposit in Laos. The applicability of the CCMS method is shown by comparing the inferred tectonic framework to that inferred from remote sensing（RS） data.
ISSN:	1672-7975 1993-0658