An Efficient Eigenstructure-Based Coherence Measure via Dimensionality Reduction | IEEE Journals & Magazine | IEEE Xplore

An Efficient Eigenstructure-Based Coherence Measure via Dimensionality Reduction


Abstract:

The eigenstructure-based coherence measure has been widely used in characterizing faults and other discontinuous structures in seismic quantitative interpretation. Howeve...Show More

Abstract:

The eigenstructure-based coherence measure has been widely used in characterizing faults and other discontinuous structures in seismic quantitative interpretation. However, it still suffers from the high computational cost which is caused by the eigendecomposition of one large covariance matrix. In this work, we focus on the computational cost of the widely-used coherence measure and try to propose one efficient eigenstructure-based coherence measure but without lowering the visual quality. We replace calculating one large covariance matrix's dominant eigenvalue with calculating two smaller covariance matrixes' dominant eigenvalues and use these two dominant eigenvalues to construct one efficient eigenstructure-based coherence measure. The computational cost of the proposed efficient eigenstructure-based coherence measure is smaller than the computational cost of the common eigenstructure-based coherence measure but without decreasing visual quality. Finally, we use one 3-D field data example to illustrate the proposed efficient eigenstructure-based coherence measure's efficiency.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 16, Issue: 11, November 2019)
Page(s): 1711 - 1715
Date of Publication: 22 April 2019

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