Title | ||
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Quantitative Measures In Isar Image Formation Based On Time-Frequency Representations |
Abstract | ||
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This paper proposes to adapt the Empirical Mode Decomposition Time-Frequency Distribution (EMD-TFD) to non analytic complex-valued signals. This original method employs the Non uniformly Sampled Bivariate Empirical Mode Decomposition (NSBEMD) to design a filter in the ambiguity domain and clean the Time-Frequency Distribution (TFD) of the signal. This new approach is called NSBEMD-TFD. The suggested adaptation is used in the generation of Inverse Synthetic Aperture Radar (ISAR) image and compared to other Time-Frequency Representation (TFR) such as Spectrogram, Wigner-Ville Distribution (WVD) ... . Furthermore, two criteria to qualify TFD are adjusted to be perform on ISAR images generated by TFD. This method, called NSBEMD-TFD, and those criteria are tested on simulated data and also on data acquired from an anechoic chamber. |
Year | Venue | Keywords |
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2017 | 2017 3RD INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP) | Inverse Synthetic Aperture Radar, Image formation, Complex Empirical Mode Decomposition, Time-Frequency Analysis |
Field | DocType | Citations |
Computer vision,Radar imaging,Computer science,Spectrogram,Inverse synthetic aperture radar,Image formation,Anechoic chamber,Time–frequency analysis,Artificial intelligence,Bivariate analysis,Hilbert–Huang transform | Conference | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jean-Christophe Cexus | 1 | 75 | 9.06 |
Abdelmalek Toumi | 2 | 22 | 9.24 |
Orian Couderc | 3 | 0 | 0.34 |