Marie Chabert
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View article: PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems
PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems Open
Poisson-Gaussian noise describes the noise of various imaging systems thus the need of efficient algorithms for Poisson-Gaussian image restoration. Deep learning methods offer state-of-the-art performance but often require sensor-specific …
View article: Unsupervised Change Detection For Multimodal Remote Sensing Images Via Coupled Dictionary Learning And Sparse Coding
Unsupervised Change Detection For Multimodal Remote Sensing Images Via Coupled Dictionary Learning And Sparse Coding Open
Archetypal scenarios for change detection generally consider two images acquired through sensors of the same modality. The resolution dissimilarity is often bypassed though a simple preprocessing, applied independently on each image to bri…
View article: CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors Open
View article: Variational Bayes image restoration with compressive autoencoders
Variational Bayes image restoration with compressive autoencoders Open
Regularization of inverse problems is of paramount importance in computational imaging. The ability of neural networks to learn efficient image representations has been recently exploited to design powerful data-driven regularizers. While …
View article: Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks
Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks Open
International audience
View article: CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
CD-GAN: a robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors Open
In the context of Earth observation, change detection boils down to comparing images acquired at different times by sensors of possibly different spatial and/or spectral resolutions or different modalities (e.g., optical or radar). Even wh…
View article: Satellite Image Compression and Denoising With Neural Networks
Satellite Image Compression and Denoising With Neural Networks Open
International audience
View article: Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression
Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression Open
Recently, convolutional neural networks have been successfully applied to lossy image compression. End-to-end optimized autoencoders, possibly variational, are able to dramatically outperform traditional transform coding schemes in terms o…
View article: Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study
Robust fusion algorithms for unsupervised change detection between multi-band optical images — A comprehensive case study Open
View article: Simplified entropy model for reduced-complexity end-to-end variational autoencoder with application to on-board satellite image compression
Simplified entropy model for reduced-complexity end-to-end variational autoencoder with application to on-board satellite image compression Open
In recent years, neural networks have emerged as data-driven tools to solve problems which were previously addressed with model-based methods. In particular, image processing has been largely impacted by convolutional neural networks (CNNs…
View article: Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images Open
View article: Modeling the Luminance Degradation of OLEDs Using Design of Experiments
Modeling the Luminance Degradation of OLEDs Using Design of Experiments Open
Modeling the lifespan of OLED (Organic Light-Emitting Diode) is a complex task as it depends on different - potentially interacting factors. As the literature on this subject is still scant, new parametric models for calculating the lifesp…
View article: A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions
A comparative study of fusion-based change detection methods for multi-band images with different spectral and spatial resolutions Open
This paper deals with a fusion-based change detection (CD) framework for multi-band images with different spatial and spectral resolutions. The first step of the considered CD framework consists in fusing the two observed images. The resul…
View article: Parametric lifespan models for OLEDs using Design of Experiments (DoE)
Parametric lifespan models for OLEDs using Design of Experiments (DoE) Open
International audience
View article: Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images Open
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, the only images available may be those acquired through se…
View article: Robust fusion algorithms for unsupervised change detection between\n multi-band optical images - A comprehensive case study
Robust fusion algorithms for unsupervised change detection between\n multi-band optical images - A comprehensive case study Open
Unsupervised change detection techniques are generally constrained to two\nmulti-band optical images acquired at different times through sensors sharing\nthe same spatial and spectral resolution. This scenario is suitable for a\nstraight c…
View article: Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: A Fusion-Based Approach Open
International audience
View article: Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection
Robust Fusion of Multiband Images With Different Spatial and Spectral Resolutions for Change Detection Open
International audience
View article: Parametric and Nonparametric Models for Lifespan Modeling of Insulation Systems in Electrical Machines
Parametric and Nonparametric Models for Lifespan Modeling of Insulation Systems in Electrical Machines Open
International audience
View article: Hybrid parametric/non-parametric models for lifespan modeling of insulation materials
Hybrid parametric/non-parametric models for lifespan modeling of insulation materials Open
This paper considers the problem of insulation material lifespan modelling. This problem is crucial for aircraft reliability since about 40% of electrical machine failures stem from insulation. According to the material physical properties…
View article: Détection de changements par fusion robuste d'images multi-bandes de résolutions spatiale et spectrale différentes
Détection de changements par fusion robuste d'images multi-bandes de résolutions spatiale et spectrale différentes Open
La détection des changements (DC) entre des images optiques multi-bandes hétérogènes (par exemple entre une image panchromatique et une image hyperspectrale) se heurte à une difficulté importante liée à la différence de résolutions spectra…
View article: Change detection between multi-band images using a robust fusion-based approach
Change detection between multi-band images using a robust fusion-based approach Open
This paper proposes a robust fusion-based strategy to detect changes between two multi-band optical images with different spatial and spectral resolutions, e.g., a multispectral high spatial resolution image and a hyperspectral low spatial…
View article: Statistical methods for the diagnosis of small-size training set models : application to the lifespan modelling of insulation materials
Statistical methods for the diagnosis of small-size training set models : application to the lifespan modelling of insulation materials Open
This paper presents and compares statistical methods for evaluating the performance of parametric model estimation for insulation lifespan in the case of small size training sets. Parametric models are derived from accelerated aging tests …
View article: Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach
Detecting Changes Between Optical Images of Different Spatial and Spectral Resolutions: a Fusion-Based Approach Open
Change detection is one of the most challenging issues when analyzing remotely sensed images. Comparing several multi-date images acquired through the same kind of sensor is the most common scenario. Conversely, designing robust, flexible …
View article: Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection
Robust Fusion of Multi-Band Images with Different Spatial and Spectral Resolutions for Change Detection Open
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, the only images available may be those acquired through di…
View article: Detecting Changes Between Optical Images of Different Spatial and\n Spectral Resolutions: a Fusion-Based Approach
Detecting Changes Between Optical Images of Different Spatial and\n Spectral Resolutions: a Fusion-Based Approach Open
Change detection is one of the most challenging issues when analyzing\nremotely sensed images. Comparing several multi-date images acquired through\nthe same kind of sensor is the most common scenario. Conversely, designing\nrobust, flexib…
View article: A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images
A Bayesian Nonparametric Model Coupled with a Markov Random Field for Change Detection in Heterogeneous Remote Sensing Images Open
International audience
View article: Power-Law Time-Scale Contrast For Abrupt Change Detection In Multiplicative Noise
Power-Law Time-Scale Contrast For Abrupt Change Detection In Multiplicative Noise Open
Publication in the conference proceedings of EUSIPCO, Tampere, Finland, 2000
View article: Regression methods for improved lifespan modeling of low voltage machine insulation
Regression methods for improved lifespan modeling of low voltage machine insulation Open
View article: Variable importance assessment in lifespan models of insulation materials: A comparative study
Variable importance assessment in lifespan models of insulation materials: A comparative study Open
International audience