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Marie Chabert

Researcher at University of Toulouse

Publications -  98
Citations -  1514

Marie Chabert is an academic researcher from University of Toulouse. The author has contributed to research in topics: Change detection & Digital watermarking. The author has an hindex of 15, co-authored 96 publications receiving 1288 citations. Previous affiliations of Marie Chabert include École Normale Supérieure & National Polytechnic Institute of Toulouse.

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Ship and Oil-Spill Detection Using the Degree of Polarization in Linear and Hybrid/Compact Dual-Pol SAR

TL;DR: The degree of polarization (DoP) is a fundamental quantity characterizing a partially polarized electromagnetic field, with significantly less computational complexity, readily adaptable for on-board implementation, compared with other well-known polarimetric discriminators.
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Mechanical Load Fault Detection in Induction Motors by Stator Current Time-Frequency Analysis

TL;DR: In this article, the authors examined the detection of mechanical faults in induction motors by an original use of stator current time-frequency analysis, which leads generally to periodic load torque oscillations.
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On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution

TL;DR: This paper proposes the use of a time-frequency distribution, the Wigner Distribution, for stator current analysis, and results in a steady-state and during transients with load torque oscillations and load imbalance are presented.
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A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors

TL;DR: This paper proposes a new approach for similarity measurement between images acquired by heterogeneous sensors that exploits the considered sensor physical properties and specially the associated measurement noise models and local joint distributions.
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Hilbert versus Concordia transform for three-phase machine stator current time-frequency monitoring

TL;DR: In this article, the authors proposed an alternative complex signal representation which takes advantage of the three stator current measurements available in a three-phase machine, which unconditionally allows separate modulation diagnosis under Bedrosian conditions.