Éditeur(s) : IRD : Institut de Recherche pour le Développement Université des Antilles et de la Guyane
Extrait de : "Projet CARIBSAT, système caribéen d'information environnementale" : conférence, le 21 mars 2013. Université des Antilles et de la Guyane
Description : M. Morell, représentant de l'IRD, présente la genèse du projet Caribsat. Ce système caribéen d'information environnementale repose sur une synergie de moyens techniques, financiers et scientifiques. Initié en 2009 grâce à des fonds européens FEDER, il regroupe une quinzaine d'institutions diverses des Antilles-Guyane (dont l'UAG) mais aussi d'autres îles caribéennes. En pratique, la collecte et le traitement d'images satellitaires permettent d'améliorer la connaissance des milieux insulaires et de mettre en oeuvre des processus de gestion intégrés.
Siècle(s) traité(s) : 21
Droits : CC-BY-NC-ND - Attribution - Pas d'utilisation commerciale - Pas de modification
Permalien : http://www.manioc.org/fichiers/V13081
V13081

Éditeur(s) : IRD : Institut de Recherche pour le Développement Université des Antilles et de la Guyane IRD : Institut de Recherche pour le Développement Université des Antilles et de la Guyane
Extrait de : "Projet CARIBSAT, système caribéen d'information environnementale" : conférence, le 21 mars 2013. Université des Antilles et de la Guyane
Résumé : L'intervention traite de l'usage d'images satellites à l'étude des milieux marins. La cartographie des fonds marins renseigne sur la répartition des habitats et des biocénoses marines, permet un suivi temporel d'évolution et fournit des outils pour la gestion de l'environnement. Les méthodes employées sont la plongée sous-marine, la cartographie acoustique, la photographie aérienne et l'imagerie satellite. Cette dernière est utile à plusieurs titres : fréquence quotidienne des données, meilleure résolution d'images, analyse de séries temporelles, automatisation des méthodes de classification, gain de temps et de réduction de coûts. Des applications techniques concrètes complètent la présentation.
L'intervention traite de l'usage d'images satellites à l'étude des milieux marins. La cartographie des fonds marins renseigne sur la répartition des habitats et des biocénoses marines, permet un suivi temporel d'évolution et fournit des outils pour la gestion de l'environnement. Les méthodes employées sont la plongée sous-marine, la cartographie acoustique, la photographie aérienne et l'imagerie satellite. Cette dernière est utile à plusieurs titres : fréquence quotidienne des données, meilleure résolution d'images, analyse de séries temporelles, automatisation des méthodes de classification, gain de temps et de réduction de coûts. Des applications techniques concrètes complètent la présentation.
Siècle(s) traité(s) : 21
Droits : CC-BY-NC-ND - Attribution - Pas d'utilisation commerciale - Pas de modification
Permalien : http://www.manioc.org/fichiers/V13088
V13088
V13088
V13088

Éditeur(s) : HAL CCSD
Résumé : Given the technological development of embedded satellite sensors, the potential of available satellite images increases so that the question now arises of their most efficient exploitation possible. This is the purpose of the CARTAM-SAT project to fluidize the processing workflow from satellite images to users. The thesis is part of this framework.Processing operations relating to images have evolved over the years. Low-resolution images were processed by a so-called pixel approach while the high-resolution has allowed the development of a so-called object approach. The latter focuses on analysing not about the isolated pixels, but about groups of pixels representative of concrete objects on the ground. Thus, in principle, these are groups of pixels with a domain-specific remote sensing semantics.Along with satellite imagery, knowledge representation has evolved. The standards of representation have benefited from the expansion of the web to give rise to standards like OWL. This one is widely based on description logics that allow the use of automated reasoners able to infer implicit knowledge.This thesis is at the junction of these two sciences and provides an ontological approach for analysing satellite images. The aim is to formalize different types of knowledges and conceptualizations implicitly used by image processing programs and by remote sensing experts, and then reasoning automatically on an image description to obtain one semantic interpretation.This general principle may have numerous technical variations. The implementation consisted in a prototype combining a satellite image analysis library and an ontology-based reasoner. The implementation proposed in the thesis allows to explore four technical variations of the principle that lead to discussions on the complementarity of pixel and object analysis paradigms, the representation of some of the spatial relations and the role of knowledge in relation to processing.
Étant donnée l'évolution technologique des capteurs embarqués à bord des satellites, le potentiel d'images satellitaires accessible s'accroît de telle manière que se pose maintenant la question de son exploitation la plus efficace possible. C'est l'objectif du projet CARTAM-SAT que de fluidifier la chaîne de traitement depuis les satellites jusqu'aux utilisateurs des images. La thèse s'inscrit dans ce cadre. Les traitements relatifs aux images ont évolué au cours des années. Les images basse résolution étaient traitées par une approche dite pixel alors que la haute résolution a permis le développement d'une approche dite objet. Cette dernière s'attache à analyser non plus des pixels isolés, mais des groupes de pixels représentatifs d'objets concrets sur le terrain. Ainsi, en principe, ces groupes de pixels sont dotés d'une sémantique propre au domaine de la télédétection. La représentation des connaissances a évolué parallèlement aux images satellitaires. Les standards de représentation ont profité de l'expansion du web pour donner naissance à des standards comme OWL. Celui-ci repose en grande partie sur les logiques de description qui permettent l'utilisation de raisonneurs automatiques capables d'inférer une connaissance implicite.Cette thèse se place à la jonction de ces deux sciences et propose une approche ontologique d'analyse des images satellitaires. Il s'agit de formaliser différents types de connaissances et de conceptualisations implicitement utilisés par les logiciels de traitement d'image et par les experts en télédétection, puis de raisonner automatiquement sur la description d'une image pour en obtenir une interprétation sémantique.Ce principe général est susceptible de nombreuses déclinaisons techniques. La mise en œuvre a consisté en la réalisation d'un prototype alliant une bibliothèque d'analyse d'images satellitaires et un raisonneur basé sur les ontologies. L'implémentation proposée dans la thèse permet d'explorer quatre déclinaisons techniques du principe qui mènent à des discussions sur la complémentarité des paradigmes d'analyse pixel et objet, la représentation de certaines relations spatiales et la place de la connaissance par rapport aux traitements.
https://tel.archives-ouvertes.fr/tel-00998692

NNT : 2013MON20059
tel-00998692
https://tel.archives-ouvertes.fr/tel-00998692
https://tel.archives-ouvertes.fr/tel-00998692/document

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
BACKGROUND: Sampling design is a key issue when establishing species inventories and characterizing habitats within highly heterogeneous landscapes. Sampling efforts in such environments may be constrained and many field studies only rely on subjective and/or qualitative approaches to design collection strategy. The region of Cacao, in French Guiana, provides an excellent study site to understand the presence and abundance of Anopheles mosquitoes, their species dynamics and the transmission risk of malaria across various environments. We propose an objective methodology to define a stratified sampling design. Following thorough environmental characterization, a factorial analysis of mixed groups allows the data to be reduced and non-collinear principal components to be identified while balancing the influences of the different environmental factors. Such components defined new variables which could then be used in a robust k-means clustering procedure. Then, we identified five clusters that corresponded to our sampling strata and selected sampling sites in each stratum. RESULTS: We validated our method by comparing the species overlap of entomological collections from selected sites and the environmental similarities of the same sites. The Morisita index was significantly correlated (Pearson linear correlation) with environmental similarity based on i) the balanced environmental variable groups considered jointly (p = 0.001) and ii) land cover/use (p-value<0.001). The Jaccard index was significantly correlated with land cover/use-based environmental similarity (p-value = 0.001). CONCLUSIONS: The results validate our sampling approach. Land cover/use maps (based on high spatial resolution satellite images) were shown to be particularly useful when studying the presence, density and diversity of Anopheles mosquitoes at local scales and in very heterogeneous landscapes.
BMC Ecology

pasteur-00914104
https://hal-riip.archives-ouvertes.fr/pasteur-00914104
https://hal-riip.archives-ouvertes.fr/pasteur-00914104/document
DOI : 10.1186/1472-6785-13-45
PUBMED : 24289184

Éditeur(s) : HAL CCSD CNRS-Editions
Résumé : Toute l'histoire des techniques de communication est intimement liée à l'histoire de l'éducation. Avant le cahier, la craie et le tableau, on savait, dans l'antiquité, recourir à diverses techniques pour construire des dispositifs socio-techniques susceptibles de faciliter l'apprentissage (Marrou, 1948). Les possibilités offertes par l'image et ses moyens successifs de diffusion ont été de même fondamentales dans la diffusion des connaissances. Ce fut d'abord l'image artisanale (vitraux et enluminures utilisés pour l'édification...). Puis l'image imprimée dès le début du seizième siècle (planches, éclatés, cartes...) et l'image projetée (de la lanterne magique aux diapositives). A partir du vingtième siècle, l'image audiovisuelle et la production industrielle (photographie, radio, cinéma, télévision...) ont croisé les systèmes éducatifs comme l'ont fait depuis une vingtaine d'années les techniques de numérisation des documents (sonores, iconiques et graphiques), les logiciels d'apprentissage, de simulation et de production, la transmission à travers des réseaux numériques, et les nouvelles formes de documents informatisés (hypertexte, écrit sur écran...)...
ISSN: 0767-9513

Droits : info:eu-repo/semantics/OpenAccess
edutice-00001307
https://edutice.archives-ouvertes.fr/edutice-00001307
https://edutice.archives-ouvertes.fr/edutice-00001307/document
https://edutice.archives-ouvertes.fr/edutice-00001307/file/hermes_SIC.pdf

Éditeur(s) : HAL CCSD American Society for Microbiology
Résumé : International audience
Anti-Aspergillus IgG antibodies are important biomarkers for the diagnosis of chronic pulmonary aspergillosis (CPA) and allergic bronchopulmonary aspergillosis (ABPA). We compared the performance of a new commercial EIA (Bordier Affinity Products) with those of the Bio-Rad and VirionSerion EIAs. This assay is novel in the association of two recombinant antigens with somatic and metabolic antigens of A. fumigatus. In a prospective multicentre study, 436 serum samples from 147 patients diagnosed with CPA (136 sera/104 patients) or ABPA (94 sera/43 patients) and from 205 controls (206 sera) were tested. We obtained sensitivities of 97%, 91.7%, and 86.1%, and specificities of 90.3%, 91.3%, and 81.5% for the Bordier, Bio-Rad and VirionSerion tests, respectively. The Bordier kit was more sensitive than the Bio-Rad kit (p < 0.01), which was itself more sensitive than the VirionSerion kit (p=0.04). The Bordier and Bio-Rad kits had similar specificities (p=0.8), both higher than that of the VirionSerion kit (p=0.02). The areas under the ROC curves confirmed the superiority of the Bordier kit over the Bio-Rad and the VirionSerion kits (0.977, 0.951 and 0.897, respectively; p < 0.01 for each comparison). In a subset analysis of 279 sera tested with the Bordier and Bio-Rad kits and an in-house immunoprecipitin assay (IPD), the Bordier kit had the highest sensitivity (97.7%), but the IPD tended to be more specific (71.2 and 84.7%, respectively; p=0.10).The use of recombinant, somatic and metabolic antigens in a single EIA improved the balance between sensitivity and specificity, resulting in an assay highly suitable for use in the diagnosis of chronic and allergic aspergillosis.
ISSN: 0095-1137

hal-01282328
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01282328
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01282328/document
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01282328/file/Prospective%20evaluation%20of%20a%20new%20Aspergillus.pdf
DOI : 10.1128/JCM.03261-15

Éditeur(s) : HAL CCSD
Résumé : International audience
We propose in this article a color image segmentation technique based on an optimization of the Mean Shift method. It consists in classifying clusters of data points of a digital image, it does not require any preliminary designation of the number of classes and of their centers. The Mean Shift method applied to a digital color image creates a new image made up of aggregates of points belonging to a finished number of color classes. The complexity of this method based on a global approach of the image is in O(NxN), N being the number of pixels of the image. Our idea consists in applying a change of scale to the image to be segmented, to reduce the quantity of information and, in using a median filter to decrease the number of colors to minimize the complexity of the latter. The comparative study which we present shows that the optimization which we proposed gives better, reliable results than the classic use of the Mean Shift method.
Complex, Intelligent and Software Intensive Systems, International Conference
Cracovie, Poland

hal-00508427
https://hal.archives-ouvertes.fr/hal-00508427
DOI : 10.1109/CISIS.2010.62

Éditeur(s) : HAL CCSD American Chemical Society
Résumé : International audience
Chlordecone is an organochlorine pesticide that was extensively used in the French West Indies to fight weevils in banana plantations from 1973 to 1993. This has led to a persistent pollution of the environment and to the contamination of the local population for several decades with effects demonstrated on human health. Chlordecone accumulates mainly in the liver where it is known to potentiate the action of hepatotoxic agents. However, there is currently no information on its in situ localization in the liver. We have thus evaluated a matrix-assisted laser desorption ionization (MALDI) imaging quantification method based on labeled normalization for the in situ localization and quantification of chlordecone. After validating the linearity and the reproducibility of this method, quantitative MALDI imaging was used to study the accumulation of chlordecone in the mouse liver. Our results revealed that normalized intensities measured by MALDI imaging could be first converted in quantitative units. These quantities appeared to be different from absolute quantities of chlordecone determined by gas chromatography (GC), but they were perfectly correlated (R(2) = 0.995). The equation of the corresponding correlation curve was thus efficiently used to convert quantities measured by MALDI imaging into absolute quantities. Our method combining labeled normalization and calibration with an orthogonal technique allowed the in situ absolute quantification of chlordecone by MALDI imaging. Finally, our results obtained on the pathological mouse liver illustrate the advantages of quantitative MALDI imaging which preserves information on in situ localization without radioactive labeling and with a simple sample preparation.
ISSN: 0003-2700

hal-01118103
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01118103
PUBMED : 24837422
DOI : 10.1021/ac500313s

Éditeur(s) : HAL CCSD
Résumé : International audience
MOTIVATION: Imaging mass spectrometry (IMS) is a maturating technique of molecular imaging. Confidence in the reproducible quality of IMS data is essential for its integration into routine use. However, the predominant method for assessing quality is visual examination, a time consuming, unstandardized and non-scalable approach. So far, the problem of assessing the quality has only been marginally addressed and existing measures do not account for the spatial information of IMS data. Importantly, no approach exists for unbiased evaluation of potential quality measures. RESULTS: We propose a novel approach for evaluating potential measures by creating a gold-standard set using collective expert judgements upon which we evaluated image-based measures. To produce a gold standard, we engaged 80 IMS experts, each to rate the relative quality between 52 pairs of ion images from MALDI-TOF IMS datasets of rat brain coronal sections. Experts' optional feedback on their expertise, the task and the survey showed that (i) they had diverse backgrounds and sufficient expertise, (ii) the task was properly understood, and (iii) the survey was comprehensible. A moderate inter-rater agreement was achieved with Krippendorff's alpha of 0.5. A gold-standard set of 634 pairs of images with accompanying ratings was constructed and showed a high agreement of 0.85. Eight families of potential measures with a range of parameters and statistical descriptors, giving 143 in total, were evaluated. Both signal-to-noise and spatial chaos-based measures performed highly with a correlation of 0.7 to 0.9 with the gold standard ratings. Moreover, we showed that a composite measure with the linear coefficients (trained on the gold standard with regularized least squares optimization and lasso) showed a strong linear correlation of 0.94 and an accuracy of 0.98 in predicting which image in a pair was of higher quality. AVAILABILITY AND IMPLEMENTATION: The anonymized data collected from the survey and the Matlab source code for data processing can be found at: https://github.com/alexandrovteam/IMS_quality. CONTACT: theodore.alexandrov@embl.de
Bioinformatics (Oxford, England)

hal-01163754
https://hal-univ-rennes1.archives-ouvertes.fr/hal-01163754
DOI : 10.1093/bioinformatics/btv266
PUBMED : 26072506

Éditeur(s) : HAL CCSD Lambert Academic Publishing
Résumé : The Himalaya-Tibet system is considered as the classical case of continental collision. Nonetheless, some fundamental questions concerning its structure, as well as physical processes influencing its evolution are still pending. This book presents several advances in the subject matter. Based on new high-resolution geophysical data from the field, combined with robust imaging techniques, the structure of the collision is revealed in detail: the underplating of India beneath half of Tibet, as well as the geometry of the surface along which this happens. Various numerical modelling techniques allow to discuss physical processes at work in the collision zone, such as the rheology of the India plate whose strong mantle supports the Himalayas, or the metamorphic reactions at depth emphasizing the role of water. We recommend this book to Earth Scientists in a broader sense. While specialists in seismology or modelling can thumb technical details, all Readers can get an interdisciplinary overview of mountain building in the Himalayas, with a retrospective outlook on early day explorers and the dawn of some classical geological principles.
https://hal.archives-ouvertes.fr/hal-00854592

ISBN : 978-3838323534
hal-00854592
https://hal.archives-ouvertes.fr/hal-00854592

Éditeur(s) : Public Library Science
Résumé : Observing spatial and temporal variations of marine biodiversity from non-destructive techniques is central for understanding ecosystem resilience, and for monitoring and assessing conservation strategies, e.g. Marine Protected Areas. Observations are generally obtained through Underwater Visual Censuses (UVC) conducted by divers. The problems inherent to the presence of divers have been discussed in several papers. Video techniques are increasingly used for observing underwater macrofauna and habitat. Most video techniques that do not need the presence of a diver use baited remote systems. In this paper, we present an original video technique which relies on a remote unbaited rotating remote system including a high definition camera. The system is set on the sea floor to record images. These are then analysed at the office to quantify biotic and abiotic sea bottom cover, and to identify and count fish species and other species like marine turtles. The technique was extensively tested in a highly diversified coral reef ecosystem in the South Lagoon of New Caledonia, based on a protocol covering both protected and unprotected areas in major lagoon habitats. The technique enabled to detect and identify a large number of species, and in particular fished species, which were not disturbed by the system. Habitat could easily be investigated through the images. A large number of observations could be carried out per day at sea. This study showed the strong potential of this non obtrusive technique for observing both macrofauna and habitat. It offers a unique spatial coverage and can be implemented at sea at a reasonable cost by non-expert staff. As such, this technique is particularly interesting for investigating and monitoring coastal biodiversity in the light of current conservation challenges and increasing monitoring needs.
Plos One (1932-6203) (Public Library Science), 2012-02 , Vol. 7 , N. 2 , P. -

Droits : 2012 Pelletier et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License
http://archimer.ifremer.fr/doc/00078/18879/16453.pdf
DOI:10.1371/journal.pone.0030536
http://archimer.ifremer.fr/doc/00078/18879/

Éditeur(s) : HAL CCSD Elsevier
Résumé : Vegetation phenology is the study of the timing of seasonal events that are considered to be the result of adaptive responses to climate variations on short and long time scales. In the field of remote sensing of vegetation phenology, phenological metrics are derived from time series of optical data. For that purpose, considerable effort has been specifically focused on developing noise reduction and cloud-contaminated data removal techniques to improve the quality of remotely-sensed time series. Comparative studies between time series composed of satellite data acquired under clear and cloudy conditions and from radiometric data obtained with high accuracy from ground-based measurements constitute a direct and effective way to assess the operational use and limitations of remote sensing for predicting the main plant phenological events. In the present paper, we sought to explicitly evaluate the potential use of MODerate resolution Imaging Spectroradiometer (MODIS) remote sensing data for monitoring the seasonal dynamics of different types of vegetation cover that are representative of the major terrestrial biomes, including temperate deciduous forests, evergreen forests, African savannah, and crops. After cloud screening and filtering, we compared the temporal patterns and phenological metrics derived from in situ NDVI time series and from MODIS daily and 16-composite products. We also evaluated the effects of residual noise and the influence of data gaps in MODIS NDVI time series on the identification of the most relevant metrics for vegetation phenology monitoring. The results show that the inflexion points of a model fitted to a MODIS NDVI time series allow accurate estimates of the onset of greenness in the spring and the onset of yellowing in the autumn in deciduous forests (RMSE <= one week). Phenological metrics identical to those provided with the MODIS Global Vegetation Phenology product (MDC12Q2) are less robust to data gaps, and they can be subject to large biases of approximately two weeks or more during the autumn phenological transitions. In the evergreen forests, in situ NDVI time series describe the phenology with high fidelity despite small temporal changes in the canopy foliage. However, MODIS is unable to provide consistent phenological patterns. In crops and savannah, MODIS NDVI time series reproduce the general temporal patterns of phenology, but significant discrepancies appear between MODIS and ground-based NDVI time series during very localized periods of time depending on the weather conditions and spatial heterogeneity within the MODIS pixel. In the rainforest, the temporal pattern exhibited by a MODIS 16-day composite NDVI time series is more likely due to a pattern of noise in the NDVI data structure according to both rainy and dry seasons rather than to phenological changes. More investigations are needed, but in all cases, this result leads us to conclude that MODIS time series in tropical rainforests should be interpreted with great caution. (C) 2013 Elsevier Inc. All rights reserved.
ISSN: 0034-4257

hal-01032407
https://hal.archives-ouvertes.fr/hal-01032407
DOI : 10.1016/j.rse.2013.01.010

Résumé : By looking at the common thread between 4 programs* in which the IFREMER Palavas (34, Languedoc-Roussillon region in France) station took part, this report show the evolution over 20 years in the perception of the pathology of farmed fish, and of the sea bass in particular (Dicentrarchus labrax). During the 1990’s farming techniques became sufficiently reliable to enable to distinguish between problems of a zootechnical nature and those with a pathological origin. In anticipation of future illnesses, the necessary tools and monitoring were implemented in order to study the immune system of the sea bass. These methods arose from the recent creation of anti-immunoglobin monoclonal probes in the sea bass. These techniques, together with others, served to search for a solution to the nodavirus epidemic which struck in1996. In the absence of a cure for this virus, the research focused on knowledge of the virus, its epidemiology and vaccine development. Despite interesting scientific results, the solution withheld to curb the Nodavirus epidemic was zootechnical. This pragmatic outcome catalysed reflections on the role of pathology, leading to notions of health, animal well-being and image. Management choices in the health of farmed fish stocks became a parameter, amongst others, included in a global commercial and farming policy. * Définition des critères d’évaluation de l’immunocompétente chez le loup et le turbot. UMR1 Université Montpellier II IFREMER ; Nodavirus disease of cultured marine fish in Europe. FAIR PL98 4036 EU; Recherche de moyens de dépistage et prévention de la nodavirose du bar. ANVAR 9804041J ; Welfare and Health in Sustainable Aquaculture WEALTH. E.U N°501984.
En prenant comme fil conducteur les travaux de 4 programmes* auxquels a participé la station IFREMER de Palavas (34), ce rapport montre l’évolution sur 20 ans de la perception de la pathologie des poissons d’élevages et du loup en particulier (Dicentrarchus labrax). Dans les années 1990 les techniques d’élevages devinrent suffisamment fiables pour permettre de distinguer les problèmes d’origines zootechniques de ceux d’origines pathologiques. En prévision des futures maladies potentielles, les outils d’étude et de suivi du système immunitaire spécifique du loup furent mis en place. Ils découlaient de la création récente de sondes monoclonales anti-immunoglobulines de loup. Ces techniques, couplées à d’autres, servirent à chercher une solution à l’épidémie de nodavirose des années 1996. En l’absence de traitement pour un virus l’accent fut mis sur la connaissance du virus, de son épidémiologie et de la vaccination. Bien que les résultats scientifiques furent très satisfaisants la solution trouvée pour juguler l’épidémie de Nodavirose fut zootechnique. Cette issue pragmatique catalysa une réflexion sur le rôle de la pathologie qui maturait depuis plusieurs années et qui déboucha sur la notion de santé, de bien être des animaux et d’image. Les choix de gestion de la santé des cheptels devinrent un paramètre, parmi d’autres, s’incluant dans d’une politique globale d’élevage et commerciale * Définition des critères d’évaluation de l’immunocompétente chez le loup et le turbot. UMR1 Université Montpellier II IFREMER ; Nodavirus disease of cultured marine fish in Europe. FAIR PL98 4036 EU; Recherche de moyens de dépistage et prévention de la nodavirose du bar. ANVAR 9804041J ; Welfare and Health in Sustainable Aquaculture WEALTH. E.U N°501984.

Droits : 2013 Ifremer
http://archimer.ifremer.fr/doc/00167/27866/26103.pdf
http://archimer.ifremer.fr/doc/00167/27866/26105.pdf
http://archimer.ifremer.fr/doc/00167/27866/26106.pdf
http://archimer.ifremer.fr/doc/00167/27866/

Éditeur(s) : HAL CCSD American Association of Petroleum Geologists
Résumé : In reservoir engineering, hydrodynamic properties can be estimated from downhole electrical data using heuristic models (e.g., Archie and Kozeny-Carman's equations) relating electrical conductivity to porosity and permeability. Although proven to be predictive for many sandstone reservoirs, the models mostly fail when applied to carbonate reservoirs that generally display extremely complex pore network structures. In this article, we investigate the control of the three-dimensional (3-D) geometry and morphology of the pore network on the electrical and flow properties, comparing core-scale laboratory measurements and 3-D x-ray microtomography image analysis of samples from a Miocene reefal carbonate platform located in Mallorca (Spain). The results show that micrometer- to centimeter-scale heterogeneities strongly influence the measured macroscopic physical parameters that are then used to evaluate the hydrodynamic properties of the rock, and therefore, existing models might not provide accurate descriptions because these heterogeneities occur at scales smaller than those of the integration volume of the borehole geophysical methods. However, associated with specific data processing, 3-D imagery techniques are a useful and probably unique mean to characterize the rock heterogeneity and, thus, the properties variability.
ISSN: 0149-1423

hal-00950066
https://hal.archives-ouvertes.fr/hal-00950066
DOI : 10.1306/05221312134

Résumé : Ce travail vise à mettre en place un système de fusion de sources d'information basé sur la Théorie des Fonctions de Croyance (TFC) et adapté aux contextes des images forestières. La TFC engendre des temps de calcul importants lorsque la cardinalité du cadre de discernement devient grande. Ainsi, nous avons proposé en premier lieu une méthode de réduction du référentiel de définition permettant d'éviter l'explosion combinatoire en restreignant le calcul sur les hypothèses estimées pertinentes et déterminées à partir des histogrammes des classes issues de la phase d'apprentissage. Ensuite, nous avons proposé des techniques d'estimation de fonctions de masse spectrales, texturales, contextuelles et structurelles. L'information multi-fractale a été utilisée comme signature de texture, ainsi l'image de Hôlder a constitué une source d'information pour l'estimation de la masse texturale. Un autre apport consiste à proposer une approche de transfert de masse basée sur l'information contextuelle, en exploitant l'image des couronnes d'arbres comme une source déduite. L'implémentation d'algorithmes de détection de couronnes d'arbres nous a permis d'extraire des mesures sur les couronnes que nous avons utilisées en tant qu'attributs pour l'estimation des fonctions de masse. Nos expérimentations montrent des taux de classification assez satisfaisants et une adéquation de notre approche de fusion à une classification à l'arbre près
This thesis aims to develop an information source fusion system based on belief functions theory (BFT) and adapted t forest images context (especially high resolution images). Applications of BFT to image classification result in th assignment of each image point to a c1ass or a subset of classes based on the mass functions estimation expressing th belief of an event. BFT leads to significant computation time when the cardinality of the set of definition become large. Thus, we first proposed a method to reduce the frame of discernment in order te avoid the combinatorial explosio by restricting the calculation on the hypotheses of the set of definition deduced from the classes histograms determine from the learning phase. Then, we proposed spectral, texturai, contextual and structural mass functions technique estimation. Multi-fractal information was used as texture signature and Hôlder image has been a source ( information for estimating the texturai mass. Another contribution is the integration of trees crowns image as derive source and the proposai of an approach to mass transfer based on contextual information inside and outside a crown. Th implementation of detection trees crowns algorithms allowed us to extract measurements on trees. These measurement are used as attributes for mass functions estimation. Our experiments and comparisons with other methods show quit satisfactory classification rate with spectral and textural approaches and adequacy of our fusion approach to contextu and structural information for trees classification

http://www.theses.fr/2011AGUY0434/document

Éditeur(s) : HAL CCSD BioMed Central
Résumé : International audience
Background: Heterogeneous patterns of malaria transmission are thought to be driven by factors including host genetics, distance to mosquito breeding sites, housing construction, and socio-behavioural characteristics. Evaluation of local transmission epidemiology to characterize malaria risk is essential for planning malaria control and elimination programmes. The use of geographical information systems (GIS) techniques has been a major asset to this approach. To assess time and space distribution of malaria disease in Bandiagara, Mali, within a transmission season, data were used from an ongoing malaria incidence study that enrolled 300 participants aged under six years old ". Methods: Children's households were georeferenced using a handheld global position system. Clinical malaria was defined as a positive blood slide for Plasmodium falciparum asexual stages associated with at least one of the following signs: headache, body aches, fever, chills and weakness. Daily rainfall was measured at the local weather station. Landscape features of Bandiagara were obtained from satellite images and field survey. QGIS™ software was used to map malaria cases, affected and non-affected children, and the number of malaria episodes per child in each block of Bandiagara. Clusters of high or low risk were identified under SaTScan W software according to a Bernoulli model. Results: From June 2009 to May 2010, 296 clinical malaria cases were recorded. Though clearly temporally related to the rains, Plasmodium falciparum occurrence persisted late in the dry season. Two " hot spots " of malaria transmission also found, notably along the Yamé River, characterized by higher than expected numbers of malaria cases, and high numbers of clinical episodes per child. Conversely, the northeastern sector of the town had fewer cases despite its proximity to a large body of standing water which was mosquito habitat. Conclusion: These results confirm the existence of a marked spatial heterogeneity of malaria transmission in Bandiagara, providing support for implementation of targeted interventions. Background Malaria is one of the leading causes of morbidity and mortality in the world, with an estimated 3.3 billion people at risk of malaria [1]. The incidence of malaria worldwide is estimated to be 216 million cases per year, with 81% of these cases occurring in sub-Saharan Africa. Malaria kills approximately 655,000 people per year; 91% of deaths occur in sub-Saharan Africa [1], mostly in children under five years of age. In Mali, West Africa, malaria represents 36.5% of consultation motives in health center, it is a leading cause of morbidity and mortality children of less than five years of age and the first reason of anaemia in pregnant women [2]. Malaria transmission is seasonal. Malaria parasite transmission and clinical disease are characterized by important microgeographic variation, often between adjacent villages, households or families [3-8]. This local heterogeneity is driven by a variety of factors including human genetics [9,10], distance to potential breeding sites [11,12], housing construction
ISSN: 1475-2875

hal-01307672
https://hal-amu.archives-ouvertes.fr/hal-01307672
https://hal-amu.archives-ouvertes.fr/hal-01307672/document
https://hal-amu.archives-ouvertes.fr/hal-01307672/file/1475-2875-12-82.pdf
DOI : 10.1186/1476-072X-2-5

Éditeur(s) : Elsevier Science Inc
Résumé : Based on multi-sensor optical remote sensing techniques, more than 80 medium and high spatial resolution satellite images were used for studying the turbidity patterns of Danube Delta waters. During a selected 4-year temporal coverage (2006 to 2009), the turbidity gradients were simultaneously analyzed in the delta plain lakes and in the Black Sea western-northwestern coastal zone. Two distinct, but complementary, methodologies for retrieving turbidity were employed, one for the lakes and the other for the coastal zone. After comparing the turbidity satellite-derived turbidity products with in-situ measurements, the inter-comparability of the products was independently verified. Then, through an integrative analysis, the initial hypothesis of turbidity control by the Danube River inputs was tested in both areas (Delta plain and coastal zone). Seasonal turbidity patterns were identified together with the mechanisms responsible for its important temporal and spatial variability. Reciprocal contributions derived from the association of multi-scale satellite products were highlighted. (C) 2013 Elsevier Inc. All rights reserved.
Remote Sensing Of Environment (0034-4257) (Elsevier Science Inc), 2013-05 , Vol. 132 , P. 86-101

Droits : 2013 Elsevier Inc. All rights reserved.
http://archimer.ifremer.fr/doc/00135/24622/23607.pdf
DOI:10.1016/j.rse.2013.01.009
http://archimer.ifremer.fr/doc/00135/24622/

Éditeur(s) : HAL CCSD
Résumé : Weather stations are constantly provided with thousands of satellite images with a view to anticipating the progress of natural phenomenons. This constant flow ofinformation requires speed and a strict analysis. Consequently, it is absolutely necessary to implement systems capable of working night and day, in order to make assessments. In this article, we suggest a method relying on pattern recognition investigation techniques, such as segmentation and classification. These techniques will be used to locate and discriminate the banks of clouds coming from images picked up by the GOES geostationary satellite. Treatment of the cloud shapes which have been found can be carried out, using operations, such as mathematical morphology, so as to draw discriminating characteristics. Classifier systems are used in order to interpret the characteristics which have been obtained and to conduct cloud classification.
15th Meeting of the Caribbean Academy of Sciences
Gosier, Guadeloupe

hal-00524903
https://hal.archives-ouvertes.fr/hal-00524903

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Voting rules relying on k-nearest neighbors (k-NN) are an effective tool in countless many machine learning techniques. Thanks to its simplicity, k-NN classification is very attractive to practitioners, as it enables very good performances in several practical applications. However, it suffers from various drawbacks, like sensitivity to "noisy" instances and poor generalization properties when dealing with sparse high-dimensional data. In this paper, we tackle the k-NN classification problem at its core by providing a novel k-NN boosting approach. Namely, we propose a supervised learning algorithm, called Universal Nearest Neighbors (UNN), that induces a leveraged k-NN rule by globally minimizing a surrogate risk upper bounding the empirical misclassification rate over training data. Interestingly, this surrogate risk can be arbitrary chosen from a class of Bregman loss functions, including the familiar exponential, logistic and squared losses. Furthermore, we show that UNN allows to efficiently filter a dataset of instances by keeping only a small fraction of data. Experimental results on the synthetic Ripley's dataset show that such a filtering strategy is able to reject "noisy" examples, and yields a classification error close to the optimal Bayes error. Experiments on standard UCI datasets show significant improvements over the current state of the art.
ISSN: 0925-2312

hal-00664462
https://hal.inria.fr/hal-00664462

Éditeur(s) : HAL CCSD Elsevier
Résumé : International audience
Cnidarian–dinoflagellate photosynthetic symbioses are fundamental to biologically diverse and productive coral reef ecosystems. The hallmark of this symbiotic relationship is the ability of dinoflagellate symbionts to supply their cnidarian host with a wide range of nutrients. Many aspects of this association nevertheless remain poorly characterized, including the exact identity of the transferred metabolic compounds, the mechanisms that control their exchange across the host–symbiont interface, and the precise subcellular fate of the translocated materials in cnidarian tissues. This lack of knowledge is mainly attributed to difficulties in investigating such metabolic interactions both in situ, i.e. on intact symbiotic associations, and at high spatial resolution. To address these issues, we illustrate the application of two in situ and high spatial resolution molecular and ion imaging techniques–matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) and the nano-scale secondary-ion mass spectrometry (NanoSIMS) ion microprobe. These imaging techniques provide important new opportunities for the detailed investigation of many aspects of cnidarian–dinoflagellate associations, including the dynamics of cellular interactions.
ISSN: 0944-2006

hal-01546914
http://hal.upmc.fr/hal-01546914
DOI : 10.1016/j.zool.2014.06.006