Improving seismic horizon matching by ordinal measures Export

@inproceedings{citeulike:2194333, abstract = {Many processing and interpretation tasks of seismic images are based on cross-correlation (CC) as a measure of similarity of reflection patterns. Although, CC has several advantages over other correlation methods, it is very sensitive to nonlinear intensity variations or single outliers, which are however characteristic for seismic data. We show for the example of horizon matching across faults, that more robust ordinal measures can perform better, especially in case of poor data quality.}, author = {Aurnhammer, M. and Mayoral, R.}, booktitle = {Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on}, citeulike-article-id = {2194333}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICPR.2004.1334611}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1334611}, doi = {10.1109/ICPR.2004.1334611}, journal = {Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on}, keywords = {computervision, genetic-algorithms, ordinal-measures}, pages = {642--645 Vol.3}, posted-at = {2008-01-04 11:29:42}, priority = {0}, title = {Improving seismic horizon matching by ordinal measures}, url = {http://dx.doi.org/10.1109/ICPR.2004.1334611}, volume = {3}, year = {2004} }

TY - CONF ID - citeulike:2194333 L3 - citeulike-article-id:2194333 N2 - Many processing and interpretation tasks of seismic images are based on cross-correlation (CC) as a measure of similarity of reflection patterns. Although, CC has several advantages over other correlation methods, it is very sensitive to nonlinear intensity variations or single outliers, which are however characteristic for seismic data. We show for the example of horizon matching across faults, that more robust ordinal measures can perform better, especially in case of poor data quality. JF - Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on EP - 645 Vol.3 TI - Improving seismic horizon matching by ordinal measures VL - 3 T2 - Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on SP - 642 KW - computervision KW - genetic-algorithms KW - ordinal-measures AU - Aurnhammer, M AU - Mayoral, R PY - 2004/// UR - http://dx.doi.org/10.1109/ICPR.2004.1334611 ER -