Title
Quantitative Measures In Isar Image Formation Based On Time-Frequency Representations
Abstract
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
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 Cexus1759.06
Abdelmalek Toumi2229.24
Orian Couderc300.34