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Volume 29 Issue 6
Nov 2018
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Journal of Earth Science  > 2018  >  29(6): 1372-1379.
Yuqing Wang, Zhenming Peng, Yan Han, Yanmin He. Seismic Attribute Analysis with Saliency Detection in Fractional Fourier Transform Domain. Journal of Earth Science, 2018, 29(6): 1372-1379. doi: 10.1007/s12583-017-0811-z
Citation: Yuqing Wang, Zhenming Peng, Yan Han, Yanmin He. Seismic Attribute Analysis with Saliency Detection in Fractional Fourier Transform Domain. Journal of Earth Science, 2018, 29(6): 1372-1379. doi: 10.1007/s12583-017-0811-z
shu

Seismic Attribute Analysis with Saliency Detection in Fractional Fourier Transform Domain

doi: 10.1007/s12583-017-0811-z
  • 1.

    School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu 610054, China

  • 2.

    Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 610054, China

Funds:

the National Natural Science Foundation of China 40874066

the National Natural Science Foundation of China 41301460

the National Natural Science Foundation of China 61571096

the National Natural Science Foundation of China 61775030

the National Natural Science Foundation of China 41274127

More Information
  • Corresponding author: Zhenming Peng
  • Received Date: 30 Sep 2016
  • Accepted Date: 15 Apr 2017
  • Publish Date: 01 Dec 2018
    Abstract
  • Most image saliency detection models are dependent on prior knowledge and demand high computational cost. However, spectral residual (SR) and phase spectrum of the Fourier transform (PFT) models are simple and fast saliency detection approaches based on two-dimensional Fourier transform without the prior knowledge. For seismic data, the geological structure of the underground rock for-mation changes more obviously in the time direction. Therefore, one-dimensional Fourier transform is more suitable for seismic saliency detection. Fractional Fourier transform (FrFT) is an improved algo-rithm for Fourier transform, therefore we propose the seismic SR and PFT models in one-dimensional FrFT domain to obtain more detailed saliency maps. These two models use the amplitude and phase in-formation in FrFT domain to construct the corresponding saliency maps in spatial domain. By means of these two models, several saliency maps at different fractional orders can be obtained for seismic attribute analysis. These saliency maps can characterize the detailed features and highlight the object areas, which is more conducive to determine the location of reservoirs. The performance of the proposed method is assessed on both simulated and real seismic data. The results indicate that our method is effective and convenient for seismic attribute extraction with good noise immunity.

     

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  • Achanta, R., Hemami, S., Estrada, F., et al., 2009. Frequency-Tuned Salient Region Detection. IEEE Conference on Computer Vision and Pattern Recognition, 1597-1604. https://doi.org/10.1109/CVPR.2009.5206596 10.1109/CVPR.2009.5206596
    Chen, Q., Sidney, S., 1997. Seismic Attribute Technology for Reservoir Forecasting and Monitoring. The Leading Edge, 16(5):445-448. https://doi.org/10.1190/1.1437657
    Chen, Y. P., Peng, Z. M., He, Z. H., et al., 2013. The Optimal Fractional Gabor Transform Based on the Adaptive Window Function and Its Application. Applied Geophysics, 10(3):305-313. https://doi.org/10.1007/s11770-013-0392-2
    Chopra, S., Marfurt, K. J., 2005. Seismic Attributes-A Historical Perspective. Geophysics, 70(5):3SO-28SO. https://doi.org/10.1190/1.2098670
    Chopra, S., Marfurt, K. J., 2008. Emerging and Future Trends in Seismic Attributes. The Leading Edge, 27(3):298-318. https://doi.org/10.1190/1.2896620
    Ell, T. A., Sangwine, S. J., 2007. Hypercomplex Fourier Transforms of Color Images. IEEE Transactions on Image Processing, 16(1):22-35. https://doi.org/10.1109/tip.2006.884955 10.1109/tip.2006.884955
    Goloshubin, G., Silin, D., Vingalov, V., et al., 2008. Reservoir Permeability from Seismic Attribute Analysis. The Leading Edge, 27(3):376-381. https://doi.org/10.1190/1.2896629
    Guo, C., Ma, Q., Zhang, L., 2008. Spatio-Temporal Saliency Detection Using Phase Spectrum of Quaternion Fourier Transform. IEEE Con-ference on Computer Vision and Pattern Recognition, 1-8. https://doi.org/10.1109/CVPR.2008.4587715 10.1109/CVPR.2008.4587715
    Hou, X., Zhang, L., 2007. Saliency Detection:A Spectral Residual Approach. IEEE Conference on Computer Vision and Pattern Recognition, 1-8. https://doi.org/10.1109/CVPR.2007.383267 10.1109/CVPR.2007.383267
    Kutay, A., Ozaktas, H. M., Ankan, O., et al., 1997. Optimal Filtering in Fractional Fourier Domains. IEEE Transactions on Signal Processing, 45(5):1129-1143. https://doi.org/10.1109/78.575688
    Li, J., Levine, M. D., An, X. J., et al., 2013. Visual Saliency Based on Scale-Space Analysis in the Frequency Domain. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4):996-1010. https://doi.org/10.1109/tpami.2012.147 doi: 10.1109/TPAMI.2012.147
    Martin, G. S., 2004. The Marmousi 2 Model, Elastic Synthetic Data, and an Analysis of Imaging and AVO in a Structurally Complex Environment: [Dissertation]. University of Houston, Houston. 6-19
    Qi, S. X., Ma, J., Li, H., et al., 2014. Infrared Small Target Enhancement via Phase Spectrum of Quaternion Fourier Transform. Infrared Physics & Technology, 62:50-58. https://doi.org/10.1016/j.infrared.2013.10.008 10.1016/j.infrared.2013.10.008
    Steeghs, P., Drijkoningen, G., 2001. Seismic Sequence Analysis and Attribute Extraction Using Quadratic Time-Frequency Representations. Geophysics, 66(6):1947-1959. https://doi.org/10.1190/1.1487136
    Tian, L., Peng, Z. M., 2014. Determining the Optimal Order of Fractional Gabor Transform Based on Kurtosis Maximization and Its Application. Journal of Applied Geophysics, 108:152-158. https://doi.org/10.1016/j.jappgeo.2014.06.009
    Wang, C., Lu, Y. C., Huang, H. G., et al., 2015. New Seismic Attribute Technology for Predicting Dissolved Pore-Fracture of Deeply Buried Platform Margin Reef-Beach System in Northeast Sichuan Basin, China. Journal of Earth Science, 26(3):373-383. https://doi.org/10.1007/s12583-015-0540-0
    Wang, Y. Q., Peng, Z. M., 2016. The Optimal Fractional S Transform of Seismic Signal Based on the Normalized Second-Order Central Moment. Journal of Applied Geophysics, 129:8-16. https://doi.org/10.1016/j.jappgeo.2016.03.011
    Wang, Y. Q., Peng, Z. M., He, Y. M., 2015. Instantaneous Attributes Analysis of Seismic Signals Using Improved HHT. Journal of Earth Science, 26(4):515-521. https://doi.org/10.1007/s12583-015-0555-6
    Yu, Y., Wang, B., Zhang, L., 2009. Pulse Discrete Cosine Transform for Saliency-Based Visual Attention. IEEE 8th International Conference on Development and Learning, 1-6. https://doi.org/10.1109/devlrn.2009.5175512 10.1109/devlrn.2009.5175512
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