Zobrazeno 1 - 10
of 125
pro vyhledávání: '"Jean-Philippe OVARLEZ"'
Autor:
Jose Agustin Barrachina, Chengfang Ren, Christele Morisseau, Gilles Vieillard, Jean-Philippe Ovarlez
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 4, Pp 157-166 (2023)
In this article, we investigated the semantic segmentation of Polarimetric Synthetic Aperture Radar (PolSAR) using Complex-Valued Neural Network (CVNN). Although the coherency matrix is more widely used as the input of CVNN, the Pauli vector has rece
Externí odkaz:
https://doaj.org/article/07cdcf710d034483b43fdfbea95b026c
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 440-449 (2022)
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviate from their surroundings without prior knowledge of their characteris
Externí odkaz:
https://doaj.org/article/251175771b14449b9366483032682a76
Autor:
Giovanni Manfredi, Israel D. Hinostroza Sáenz, Michel Menelle, Stéphane Saillant, Jean‐Philippe Ovarlez, Laetitia Thirion‐Lefevre
Publikováno v:
IET Radar, Sonar & Navigation, Vol 15, Iss 12, Pp 1573-1582 (2021)
Abstract The Doppler signature of a man walking in a forested area analysed at L‐band is presented here. The aim is twofold: to assess the best time‐frequency distribution to characterise the activity; to highlight the similarity of the simulated
Externí odkaz:
https://doaj.org/article/c1a64117c8fb4d43886829d17c16b7a3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3545-3556 (2020)
This article derives a new change detector for multivariate synthetic aperture radar (SAR) image time series (ITS). Classical statistical change detection methodologies based on covariance matrix analysis are usually built upon the Gaussian assumptio
Externí odkaz:
https://doaj.org/article/02dd154a024d46d4b8236861dfb0206b
Autor:
Giovanni Manfredi, Israel D. Sáenz Hinostroza, Michel Menelle, Stéphane Saillant, Jean-Philippe Ovarlez, Laetitia Thirion-Lefevre
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 423 (2021)
Measurements of the Doppler signature in UHF-band of a human moving in outdoor sites are presented in this paper. A radar campaign has been carried out, observing a subject walking and running outside, near and within a forest. A bistatic radar has b
Externí odkaz:
https://doaj.org/article/6360d598f43b4891888e6a37813dfb4a
Autor:
José Agustín Barrachina, Chengfang Ren, Christèle Morisseau, Gilles Vieillard, Jean-Philippe Ovarlez
Publikováno v:
Journal of Signal Processing Systems. 95:57-66
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8813c9d51d76ba1cf52dabcceeed5dd0
https://doi.org/10.1007/s11265-022-01793-0
https://doi.org/10.1007/s11265-022-01793-0
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e8c5af5bef4b0b4688941395405f813
https://doi.org/10.1109/icassp49357.2023.10096840
https://doi.org/10.1109/icassp49357.2023.10096840
Publikováno v:
Détection de changements et analyse des séries temporelles d’images 1 ISBN: 9781789480566
Ce chapitre propose un aperçu des méthodologies de comparaisons basées sur les matrices de covariance locale des pixels multivariés. L'étendue de cet aperçu est spécifiée par les conditions suivantes : 1) l'accent est mis sur les méthodologi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::992c1d36e9a402f6867fbee1c099058c
https://doi.org/10.51926/iste.9056.ch3
https://doi.org/10.51926/iste.9056.ch3
Publikováno v:
30th European Signal Processing Conference, EUSIPCO 2022
30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia
30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia
This paper proposes new algorithms for the metric learning problem. We start by noticing that several classical metric learning formulations from the literature can be viewed as modified covariance matrix estimation problems. Leveraging this point of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ca7c7360785d752128cdd077f61d336
https://hal.science/hal-03931132/document
https://hal.science/hal-03931132/document
Autor:
Stephane Saillant, Laetitia Thirion-Lefevre, Michel Menelle, Jean-Philippe Ovarlez, Israel D. Hinostroza Sáenz, Giovanni Manfredi
Publikováno v:
IET Radar Sonar and Navigation
IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2021, ⟨10.1049/rsn2.12147⟩
IET Radar, Sonar & Navigation, Vol 15, Iss 12, Pp 1573-1582 (2021)
IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2021, ⟨10.1049/rsn2.12147⟩
IET Radar, Sonar & Navigation, Vol 15, Iss 12, Pp 1573-1582 (2021)
The Doppler signature of a man walking in a forested area analysed at L‐band is presented here. The aim is twofold: to assess the best time‐frequency distribution to characterise the activity; to highlight the similarity of the simulated data to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84b6f3a57dd95ca0289a530520ace660
https://doi.org/10.1049/rsn2.12147
https://doi.org/10.1049/rsn2.12147