Pulse-echo image sensitive segmentation in independent component basis of multiparameter complex space-zero imaging method

Alexander M. Akhmetshin; Lyudmila G. Akhmetshina; Andrey Mironenko

doi:10.1117/12.602951

28 March 2005 Pulse-echo image sensitive segmentation in independent component basis of multiparameter complex space-zero imaging method

Alexander M. Akhmetshin; Lyudmila G. Akhmetshina; Andrey Mironenko

Author Affiliations +

Proceedings Volume 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III; (2005) https://doi.org/10.1117/12.602951
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

In the paper, we consider a new method of pulse-echo image analysis and its application for seismic prospecting of oil reservoir. The method has a high sensitivity in comparison with other well known techniques of seismic data analysis and consists of the following seven steps: 1) A moving window (3x3) slides on a seismic image and compares each pixel of analyzed image to unwrapped in a spiral order window. 2) Brightness of pixels into the window are considered as information features and ones is presented in a form of a same vector a of size (1x9). 3) Its complex analog b, obtained using a gradient transformation, which is compared to this vector. This step is needed for increasing a sensitivity of future segmentation procedure. 4) Coefficients of the vector b are considered as complex coefficients of some characteristic polynomial H(z). 5) Complex zeroes calculation of the polynomial H(z). This step gives a possibility for forming a new 3-D complex space of information features. 6) A new information basis is formed on the base of independent components, obtained after applying independent component analysis (ICA) to a magnitude of complex space-zero array. 7) The information fusion is used by means of Kohonen’s self-organizing map (SOM) algorithm. This step gives possibility to obtain one new resulting image. Experiments were made on the real-world pulse-echo image with known position of oil reservoir. The new method permitted to detect oil reservoir, while the known methods did not give any positive results.

Citation Download Citation

Alexander M. Akhmetshin, Lyudmila G. Akhmetshina, Andrey Mironenko, "Pulse-echo image sensitive segmentation in independent component basis of multiparameter complex space-zero imaging method", Proc. SPIE 5818, Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and Neural Networks III, (28 March 2005); doi: 10.1117/12.602951; https://doi.org/10.1117/12.602951

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