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Title: An improved technique for SAR internal wave signal detection
Authors: Fan, K
Gu, Y
Zhang, H
Li, C
Yu, X
Keywords: Empirical mode decomposition;Hilbert-Huang transform;Internal wave;Synthetic aperture radar
Issue Date: Apr-2020
Publisher: NISCAIR-CSIR, India
Abstract: One improved boundary process method for synthetic aperture radar (SAR) internal wave signal detection, which tries to reduce the errors during the extending process for empirical mode decomposition (EMD), has been introduced in this paper. This method is based on EMD and the criterion created by the theory that the max normalized deflection stands for the largest energy. The method was first applied both on several time series decompositions and on SAR nonlinear internal wave temporal series decompositions. The comparison of results showed that this method was more feasible and precise indicating that the method can detect the internal wave signals successfully from SAR image even with a lot noise.
Page(s): 634-640
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.49(04) [April 2020]

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