A5073142840- Image and Signal Denoising Methods
- Remote-Sensing Image Classification
- Fault Detection and Control Systems
- Advanced Image Fusion Techniques
- Machine Fault Diagnosis Techniques
- Advanced Steganography and Watermarking Techniques
- Advanced Data Compression Techniques
- Chaos-based Image/Signal Encryption
- Geochemistry and Geologic Mapping
- High voltage insulation and dielectric phenomena
- Nuclear physics research studies
- Digital Media Forensic Detection
- Control Systems and Identification
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Blind Source Separation Techniques
- Power Transformer Diagnostics and Insulation
- Sparse and Compressive Sensing Techniques
- Reliability and Maintenance Optimization
- Advanced SAR Imaging Techniques
- Non-Destructive Testing Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Mathematical Analysis and Transform Methods
- Sensorless Control of Electric Motors
- Astronomical and nuclear sciences
- Spectroscopy Techniques in Biomedical and Chemical Research
Université Toulouse - Jean Jaurès
2015-2024
Université Toulouse III - Paul Sabatier
2015-2024
Institut de Recherche en Informatique de Toulouse
2015-2024
Université Toulouse-I-Capitole
2015-2024
Institut Polytechnique de Bordeaux
2015-2024
Institut National Polytechnique de Toulouse
2015-2024
École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des Télécommunications
2011-2024
Université de Toulouse
2008-2016
TéSA
2004-2015
GANIL
1994-2001
Monitoring and detection of ships oil spills using synthetic aperture radar (SAR) have received a considerable attention over the past few years, notably due to wide area coverage day night all-weather capabilities SAR systems. Among different polarimetric modes, dual-pol data are widely used for monitoring large ocean coastal areas. The degree polarization (DoP) is fundamental quantity characterizing partially polarized electromagnetic field, with significantly less computational...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper examines the detection of mechanical faults in induction motors by an original use stator current time-frequency analysis. Mechanical lead generally to periodic load torque oscillations. The influence oscillations on motor is studied using analytical approach. fault results a sinusoidal phase modulation current, which equivalent time-varying frequency. Based these assumptions, several...
This paper deals with the detection of mechanical load faults in induction motors during speed transients. The strategy is based on stator current analysis. Mechanical generally lead to torque oscillations at specific frequencies related rotor speed. produce a characteristic sinusoidal phase modulation current. Speed transients result time-varying supply that prevent use classical, Fourier transform-based spectral estimation. proposes time-frequency distribution, Wigner Distribution, for...
Remote sensing images are commonly used to monitor the earth surface evolution. This surveillance can be conducted by detecting changes between acquired at different times and possibly kinds of sensors. A representative case is when an optical image a given area available new in emergency situation (resulting from natural disaster for instance) radar satellite. In such case, with heterogeneous properties have compared change detection. paper proposes approach similarity measurement The...
Earth observation through satellite images is crucial to help economic activities as well monitor the impact of human on ecosystems. Current systems are subjected strong computational complexity constraints. Thus, image compression performed onboard with specifically tailored algorithms while denoising ground. In this letter, we intend address and neural networks. The first proposed approach uses a single architecture for joint denoising. second sequentially one ground For both approaches,...
Change detection (CD) is one of the most challenging issues when analyzing remotely sensed images.Comparing several multidate images acquired through same kind sensor common scenario.Conversely, designing robust, flexible, and scalable algorithms for CD becomes even more have been by two different kinds sensors.This situation arises in case emergency under critical constraints.This paper presents, to best our knowledge, first strategy deal with optical characterized dissimilar spatial...
Recently, convolutional neural networks have been successfully applied to lossy image compression. End-to-end optimized autoencoders, possibly variational, are able dramatically outperform traditional transform coding schemes in terms of rate-distortion trade-off; however, this is at the cost a higher computational complexity. An intensive training step on huge databases allows autoencoders learn jointly representation and its probability distribution, using non-parametric density model or...
In the context of Earth observation, change detection boils down to comparing images acquired at different times by sensors possibly spatial and/or spectral resolutions or modalities (e.g., optical radar). Even when considering only images, this task has proven be challenging as soon differ their resolutions. This paper proposes a novel unsupervised method dedicated such so-called heterogeneous sensors. It capitalizes on recent advances which formulate into robust fusion framework. Adopting...
Secondary ions of ${}^{100}$Ag, ${}^{100}$Cd, ${}^{100}$In, and ${}^{100}$Sn were produced via the fusion-evaporation reaction ${}^{50}\mathrm{Cr}{+}^{58}\mathrm{Ni}$ at an energy 51 MeV/nucleon, accelerated simultaneously in second cyclotron GANIL. About 10 counts observed from production acceleration ${}^{100}\mathrm{Sn}{}^{22+}$. The masses measured with respect to ${}^{100}$Ag using GANIL cyclotron, precisions $2\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}6}$,...
Archetypal scenarios for change detection generally consider two images acquired through sensors of the same modality. However, in some specific cases such as emergency situations, only available may be those different kinds sensors. More precisely, this paper addresses problem detecting changes between multiband optical characterized by spatial and spectral resolutions. This sensor dissimilarity introduces additional issues context operational detection. To alleviate these issues, classical...
Analysis and comparison of linear hybrid/compact dual-polarization (dual-pol) synthetic aperture radar (SAR) imagery have gained a wholly new importance in the last few years, particular, with advent spaceborne SARs such as Japanese ALOS PALSAR, Canadian RADARSAT-2, German TerraSAR-X. Compact polarimetry, hybrid dual-pol, quad-pol modes are newly promoted literature for future SAR missions. In this paper, we investigate compare different dual-pol terms estimation degree polarization (DoP)....
This paper introduces a Bayesian non parametric (BNP) model associated with Markov random field (MRF) for detecting changes between remote sensing images acquired by homogeneous or heterogeneous sensors. The proposed is built an analysis window which takes advantage of the spatial information via MRF. does not require any priori knowledge about number objects contained in thanks to BNP framework. change detection strategy can be divided into two steps. First, segmentation performed using...
This paper presents a satellite image compression scheme based on post-processing of the wavelet transform images. The bandelet is directional coefficients. Thanks to low computational complexity, this good candidate for future on-board systems. First, we analyze ability bandelets exploit correlations between study leads an improved with better decorrelation adjacent coefficients in vertical or horizontal direction taking into account subband orientations. To perform even decorrelation,...
This paper examines the detection of mechanical faults in induction motors by stator current analysis. Mechanical lead generally to periodic load torque oscillations. The influence oscillations on motor is studied. fault results a sinusoidal phase modulations current. Based these assumptions, several signal processing methods suitable for signature analysis are discussed: classical spectral analysis, instantaneous frequency estimation and time-frequency using Wigner distribution....
This paper describes an original statistical approach for the lifespan modeling of electric machine insulation materials. The presented models aim to study effect three main stress factors (voltage, frequency, and temperature) their interactions on lifespan. proposed methodology is applied two different materials tested in partial discharge regime. Accelerated ageing tests are organized according experimental optimization methods order minimize cost while ensuring best model accuracy. In...
Modeling the lifespan of an organic light-emitting diode (OLED) is a complex task as it depends on different potentially interacting factors. As literature this subject still scant, new parametric models for calculating OLED are proposed in article. The design experiment (DoE) methodology used cost and accuracy reasons. Different based thermal electrical experimental aging tests proposed. stress factors, current density, temperature, their interactions, which rarely taken into account...
A statistical model for detecting changes in remote sensing images has recently been proposed (Prendes et al., 2014a,b). This is sufficiently general to be used homogeneous acquired by the same kind of sensors (e.g., two optical from Pléiades satellites, possibly with different acquisition conditions), and heterogeneous an image a satellite synthetic aperture radar (SAR) TerraSAR-X satellite). assumes that each pixel distributed according mixture distributions depending on noise properties...
This paper represents a reconstruction algorithm using direct sensitivity matrix (DSM) approach for fast 3D image in electrical impedance imaging. The boundary element method (BEM) is used the construction of this matrix. first images conductivity perturbation inside sphere are reconstructed, theoretical data.
In recent years, remote sensing of the Earth surface using images acquired from aircraft or satellites has gained a lot attention. The acquisition technology been evolving fast and, as consequence, many different kinds sensors (e.g., optical, radar, multispectral, and hyperspectral) are now available to capture features observed scene. One main objectives is monitor changes on surface. Change detection thoroughly studied in case by same (mainly optical radar sensors). However, due diversity...