المؤلفون: Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean-Philippe Ovarlez

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3545-3556 (2020)

مصطلحات موضوعية: Change detection, covariance matrix, compound Gaussian (CG), low-rank (LR), synthetic aperture radar (SAR), time series, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9107411/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/02dd154a024d46d4b8236861dfb0206b

المؤلفون: Apolline Mellot, Antoine Collas, Pedro L. C. Rodrigues, Denis Engemann, Alexandre Gramfort

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::836238ee70d2f0bffaeacbef1ce0f1b9
https://doi.org/10.1101/2023.04.27.538550

المؤلفون: Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean-Philippe Ovarlez

المساهمون: Sondra, CentraleSupélec, Université Paris-Saclay (SONDRA), ONERA-CentraleSupélec-Université Paris-Saclay, Laboratoire Energétique Mécanique Electromagnétisme (LEME), Université Paris Nanterre (UPN), Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), DEMR, ONERA, Université Paris Saclay [Palaiseau], ONERA-Université Paris-Saclay

المصدر: 30th European Signal Processing Conference, EUSIPCO 2022
30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia

مصطلحات موضوعية: FOS: Computer and information sciences, [PHYS]Physics [physics], Computer Science - Machine Learning, [SPI]Engineering Sciences [physics], ROBUST ESTIMATION, Statistics - Machine Learning, RIEMANNIAN GEOMETRY, METRIC LEARNING, Machine Learning (stat.ML), COVARIANCE, Machine Learning (cs.LG)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ca7c7360785d752128cdd077f61d336
https://hal.science/hal-03931132/document

المؤلفون: Arnaud Breloy, Guillaume Ginolhac, Jean-Philippe Ovarlez, Ammar Mian, Antoine Collas

المساهمون: Dept Signal Process and Acoust, Université Paris-Saclay, Université Paris Nanterre, Université Savoie Mont Blanc, Aalto-yliopisto, Aalto University

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3545-3556 (2020)

مصطلحات موضوعية: Synthetic aperture radar, Atmospheric Science, Compound-Gaussian, Rank (linear algebra), Computer science, Gaussian, Covariance matrix, Geophysics. Cosmic physics, 0211 other engineering and technologies, Time Series, 02 engineering and technology, compound Gaussian (CG), symbols.namesake, 0202 electrical engineering, electronic engineering, information engineering, Computers in Earth Sciences, Time series, TC1501-1800, 021101 geological & geomatics engineering, covariance matrix, low-rank (LR), QC801-809, 020206 networking & telecommunications, synthetic aperture radar (SAR), Low-rank, Ocean engineering, Likelihood-ratio test, symbols, Synthethic Aperture Radar, Change detection, time series, Algorithm, Subspace topology

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a023e7942a3dc6f83e9b377d02a6230
https://ieeexplore.ieee.org/document/9107411/

المؤلفون: Guillaume Ginolhac, Jean-Philippe Ovarlez, Chengfang Ren, Florent Bouchard, Arnaud Breloy, Antoine Collas

المساهمون: Sondra, CentraleSupélec, Université Paris-Saclay (SONDRA), ONERA-CentraleSupélec-Université Paris-Saclay, Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire Energétique Mécanique Electromagnétisme (LEME), Université Paris Nanterre (UPN), Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), DEMR, ONERA, Université Paris Saclay [Palaiseau], ONERA-Université Paris-Saclay, ANR-17-ASTR-0015,MARGARITA,Nouvelles Techniques Robustes et d'Inférences pour le Radar Adaptatif Moderne(2017)

المصدر: IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩

مصطلحات موضوعية: Heteroscedasticity, Heteroscedastic data, Robust Estimation, Computer science, Probabilistic logic, 020206 networking & telecommunications, Statistical model, 02 engineering and technology, Riemannian geometry, Clustering, symbols.namesake, Additive white Gaussian noise, Signal Processing, Euclidean geometry, 0202 electrical engineering, electronic engineering, information engineering, symbols, Riemannian Optimization, Electrical and Electronic Engineering, Cluster analysis, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS, Covariance Matrices, Probabilistic PCA, Signal subspace

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6f652b0fb44643e67563c96801a025
https://hal.univ-grenoble-alpes.fr/hal-03521278/file/TSP_robust_Grassmann.pdf