Multifractal approach for seafloor characterization
DRS at CSIR-National Institute of Oceanography
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Title |
Multifractal approach for seafloor characterization
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Creator |
Chakraborty, B.
Haris, K. Latha, G. Maslov, N. Menezes, A.A.A. |
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Subject |
backscatter
bathythermographic data stochastic processes sediment analysis stability seafloor mapping |
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Description |
This letter involves multifractal characterization of pockmark seepage associated seafloor along the central part of the western continental margin of India. Six representative blocks of backscatter and bathymetry coregistered image data were used to characterize the seafloor. Two distinct multifractal formalisms are applied to determine the characteristics. The first formalism employs data analyses using generalized dimension D(q) and multifractal singularity spectrum f(alpha) linked shape parameters, based on the strange attractor that exhibits multifractal scaling. The second approach is designed as stochastic multifractal fields that connect the image block quantification to the three fundamental parameters, namely, degree of multifractality alpha, sparseness C1, and degree of smootheness H. The present investigation using the two multifractal formalisms to characterize the seafloor backscatter and bathymetry data provides comparative results that can be expounded upon.
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Date |
2014-02-05T09:19:16Z
2014-02-05T09:19:16Z 2014 |
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Type |
Journal Article
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Identifier |
IEEE Geoscience And Remote Sensing Letters, vol.11(1); 2014; 54-58.
http://drs.nio.org/drs/handle/2264/4448 |
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Language |
en
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Rights |
© 2013 IEEE "This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."
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Publisher |
IEEE
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