Please use this identifier to cite or link to this item:
http://nopr.niscpr.res.in/handle/123456789/54648| 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] |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJMS 49(4) 634-640.pdf | 634 kB | Adobe PDF | View/Open |
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