Vinicius Ferraris
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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: Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images Open
View article: Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images Open
When no arterial input function is available, quantification of dynamic PET images requires a previous step devoted to the extraction of a reference time-activity curve (TAC). Factor analysis is often applied for this purpose. This paper i…
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: 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: 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: Détection de changement par fusion d'images de télédétection de résolutions et modalités différentes
Détection de changement par fusion d'images de télédétection de résolutions et modalités différentes Open
La détection de changements dans une scène est l’un des problèmes les plus complexes en télédétection. Il s’agit de détecter des modifications survenues dans une zone géographique donnée par comparaison d’images de cette zone acquises à di…
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: 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: 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…