A Comparative Study of Orthogonal Moments for Micro-Doppler Classification
| العنوان: | A Comparative Study of Orthogonal Moments for Micro-Doppler Classification |
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| المؤلفون: | Clement Magnant, Pierrick Legrand, Eric Grivel, Vincent Corretja, Sabrina Machhour |
| المساهمون: | Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Quality control and dynamic reliability (CQFD), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National de la Recherche Scientifique (CNRS)-Institut Polytechnique de Bordeaux-Université Sciences et Technologies - Bordeaux 1, Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest |
| المصدر: | EUSIPCO EUSIPCO 2018-26th European Signal Processing Conference EUSIPCO 2018-26th European Signal Processing Conference, Sep 2018, Rome, Italy |
| بيانات النشر: | IEEE, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | 020301 aerospace & aeronautics, Computer science, Zernike polynomials, business.industry, Pattern recognition, 02 engineering and technology, Iterative reconstruction, White noise, law.invention, Time–frequency analysis, symbols.namesake, Micro doppler, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0203 mechanical engineering, law, 0202 electrical engineering, electronic engineering, information engineering, symbols, Spectrogram, 020201 artificial intelligence & image processing, Artificial intelligence, Radar, business, Legendre polynomials, ComputingMilieux_MISCELLANEOUS |
| الوصف: | Micro-Doppler induced by mechanical vibrating or rotating structures in a radar target is possibly useful for its detection, classification and recognition. In a previous work, pseudo-Zernike moments (PZMs) were used as micro-Doppler features for classification. Despite of their promising classification rates, the choice of PZMs is debatable because other types of moments exist. In this paper, our purpose is to compare various kinds of micro-Doppler features such as Zernike moments, PZMs, orthogonal Mellin-Fourier moments, Legendre moments and Krawtchouk moments in order to evaluate which moments are the most relevant in terms of reconstruction ability, computational cost and micro-Doppler classification rate. Advantages and drawbacks of each family of moments are also given. Through the simulations we carried out, when the signal is disturbed by an additive white noise and the signal-to-noise ratio is low, the use of Krawtchouk moments as micro-Doppler features turns out to be the best compromise. |
| DOI: | 10.23919/eusipco.2018.8553069 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67482a44e1bd9269ef30c05fd4ca7967 https://doi.org/10.23919/eusipco.2018.8553069 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....67482a44e1bd9269ef30c05fd4ca7967 |
| قاعدة البيانات: | OpenAIRE |
| DOI: | 10.23919/eusipco.2018.8553069 |
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