865 resultados para Multi-scale place recognition


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Providing accurate maps of coral reefs where the spatial scale and labels of the mapped features correspond to map units appropriate for examining biological and geomorphic structures and processes is a major challenge for remote sensing. The objective of this work is to assess the accuracy and relevance of the process used to derive geomorphic zone and benthic community zone maps for three western Pacific coral reefs produced from multi-scale, object-based image analysis (OBIA) of high-spatial-resolution multi-spectral images, guided by field survey data. Three Quickbird-2 multi-spectral data sets from reefs in Australia, Palau and Fiji and georeferenced field photographs were used in a multi-scale segmentation and object-based image classification to map geomorphic zones and benthic community zones. A per-pixel approach was also tested for mapping benthic community zones. Validation of the maps and comparison to past approaches indicated the multi-scale OBIA process enabled field data, operator field experience and a conceptual hierarchical model of the coral reef environment to be linked to provide output maps at geomorphic zone and benthic community scales on coral reefs. The OBIA mapping accuracies were comparable with previously published work using other methods; however, the classes mapped were matched to a predetermined set of features on the reef.

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Históricamente la estrategia de localización de la infraestructura religiosa católica en Chile ha estado condicionada por intenciones destinadas a la captación y tutela de feligreses, proceso desarrollado a través de intervenciones que han generado externalidades difíciles de anticipar y posibles de visualizar en un marco temporal mayor. En este contexto la producción e instalación de los templos católicos en distintos lugares de la ciudad condicionaron los territorios y marcaron presencia en su afán por colonizar y mantener el dominio, mecanismo propio de la institución religiosa que se adaptó al medio y a las circunstancias político social para cumplir su misión y mantener el poder. En esta investigación se buscó identificar desde las edificaciones destinadas al culto, la relación escalar entre localización, modo de instalación y morfología que incluye la forma y técnica de construcción, reconociendo la manera cómo modifican los entornos, el efecto que provocan y las expectativas que abren a nuevas intervenciones. El escenario escogido para realizar el estudio correspondió a un período de la historia de la ciudad de Santiago de Chile no documentado en que las circunstancias políticas, económicas, sociales y culturales contribuyeron a que el modo de disposición de las edificaciones de culto condicionaron el desarrollo urbano y orientaron el crecimiento de la ciudad. El período en que se desarrolló el estudio correspondió a la época de mayor riqueza material y cultural de la historia del país y estuvo modelada por las intenciones y planes de desarrollo tendientes a consolidar lo que se ha denominado el modelo Republicano. Escenario en que el espacio público cobró interés y se transformó en el motor de los cambios e indicador de la escala de la ciudad, estableciendo las condiciones para que las distintas corrientes europeas se manifestaran en el hacer arquitectónico cambiando la imagen original de la ciudad colonial. Este proceso que ocurrió sobre la estructura existente, densificó la manzana a través de la subdivisión predial, que complementado con los avances tecnológicos permitieron mayores alturas de edificación, situación que dio origen a nuevas concepciones espaciales, posibles de desarrollar con los recursos materiales, intelectuales y técnicos disponibles. El estudio se centró en la centuria 1850-1950 analizando la forma como la infraestructura religiosa Católica se localizó en el tejido urbano adoptando distintas tipologías edilicias, en una época caracterizada por el eclecticismo arquitectónico. Específicamente se estudiaron las edificaciones que utilizaron reminiscencias góticas, identificando los casos más significativos, estableciendo el contexto en que se originaron e indagando en la significación que tuvieron por la función que cumplieron, considerando emplazamiento y conexión con el entorno construido, conformación, dimensiones, destino y patrocinios. El área de estudio se fundamentó por la concentración de construcciones con la tendencia historicista, producciones que en el corto y mediano plazo orientaron las transformaciones de la ciudad y por la presencia que conservan hasta estos días. Se observó la incidencia de la acción de la Iglesia Católica en las políticas de Estado, orientando las decisiones de planificación y ocupación del territorio, condicionando la localización de los templos a fin de conseguir las mayores coberturas de la población y el mayor rendimiento de las inversiones. En el contexto latinoamericano la construcción de iglesias, templos y catedrales con reminiscencias góticas fue una constante que caracterizó al último cuarto del siglo XIX y las tres primeras décadas del siglo XX. El estudio permitió conocer en términos cuantitativos y cualitativos la producción, destacando la morfología y materialidad caracterizada por la adopción de estrategias contemporáneas estructuralmente exigentes. Se observó la utilización de la arquitectura como un medio de acercamiento a la población, capaz de transformar a los edificios en símbolos barriales, que facilitaron la generación de identidad, al convertirse en los referentes materiales que se destacan, que se recuerdan y que asumen la representatividad de barrios, permaneciendo en el tiempo y convirtiéndose en íconos asociados a la cultura local. En síntesis, la instalación de las infraestructuras religiosas en la ciudad de Santiago fue consecuencia de un modo de producción, que entregó lugares de encuentro y símbolos para la ciudad, a través de la localización de los edificios que buscaron ocupar áreas visibles, relevantes y convocantes, lo que consiguieron mediante la instalación geográfica, central y equidistante de conglomerados residenciales consolidados o en vías de desarrollo, como también a través de edificaciones monumentales y siempre destacadas respecto de su entorno, lo que marcó exclusividad y dominio. La elección de tipos arquitectónicos fue coyuntural a los tiempos e inspirada en intelectuales y profesionales mayoritariamente foráneos que aportaron conocimientos y experiencia para auspiciar edificaciones que fueron reconocidas como señeras y precursoras de la época. La intensidad en el uso de los recursos que demandaron las exigentes estructuras obligó a la iglesia católica a establecer estrategias de financiación destinadas a suplir la falta de recursos provenientes del Estado. Para lo cual convocaron a distintos actores los que participaron desde sus fronteras y en función de sus intereses cubriendo desde el altruismo hasta la rentabilización de su patrimonio. La organización iglesia católica se comporta de la misma manera que cualquier otra organización: busca expandirse, concentrar, controlar y administrar. Busca codificar todo su entorno (Raffestin, 2011), busca trascender y materialmente lo logra desde sus construcciones. ABSTRACT Historically the location strategies of the catholic religious infrastructure in Chile has been conditioned by intentions aimed at attracting and guardianship of parishioners, process developed through interventions that have generated externalities difficult to anticipate and possible to visualize in a in a major temporary frame. In this context, the production and installation of the catholic churches in different places in the city determined the territories and marked presence in their quest to colonize and maintain domain, mechanism of the religious institution that was adapted to the environment and in the political and social circumstances to fulfill its mission and maintain power. This research sought to identify from the buildings intended for worship in a multi-scale relationship between location, the placement mode, morphology and shape and construction technique and the effect caused by them, the way how they alter the environments and the expectations that are open to new interventions. The chosen scenario for the study corresponded to a not documented period in the history of the city of Santiago de Chile in which political, economic, social and cultural circumstances contributed to the form of disposition of the buildings of worship that determined the urban development and guided the growth of the city. The study period was the epoch of largest material and cultural wealth of Chile history and it was modeled by the intentions and development plans tending to consolidate what has been named the Republican ideal. Scenario in which public space gained interest and became the engine of change and indicator of the scale of the city, establishing the conditions for the various European trends manifested themselves in transforming the original image of the colonial city. This process that took place on the existing structure, produced a higher density of the original blocks through the predial compartimentation, which supplemented with technological advances enabled greater building heights, a situation that gave rise to new spatial conceptions, possible of developing with the material resources, intellectuals and technicians available at the moment. The study focused on the century 1850-1950 by analyzing how the Catholic religious infrastructure was located in the urban fabric by adopting different typologies locality, in an epoch characterised by architectural eclecticism. Specifica lly, it is studied the buildings that used gothic reminiscences, identifying the most significant cases, establishing the context in which they originated and inquiring about the significance that they had for the role it played, considering location and connection to the built environment, shaping, dimensions, destination, and sponsorships. The study area was established by the concentration of buildings with this historicist trend, productions that in the short and medium term guided the transformation of the city and the presence that keeps up to these days. It was noted the incidence of the of the Catholic Church actions in guiding State policies, planning decisions and occupation of the territory, as well as conditioning the location of the temples in order to achieve greater coverage of the population and the greatest return on investment. In the context of Latin America the construction of churches, temples and cathedrals with reminiscences gothic was a constant that characterized the last quarter of the nineteenth century and the first three decades of the twentieth century. The study allowed to know in quantitative and qualitative terms the production of the period, highlighting the morphology and materiality characterized by contemporary and structurally challenging strategies. It was noted the use of architecture as a means of approaching to the population, able to transform buildings into neighborhood symbols, which facilitated the production of identity, to become the reference materials that stand out, that will be remembered and that assume the representativeness of neighborhoods, remaining in the time and becoming icons associated with the local culture. In synthesis, the installation of religious infrastructure in the city of Santiago was result of a mode of production, that provided meeting places and symbols for the city, through the location of buildings that sought to occupy visible, relevant and summoning areas, what they obtained by means of the geographical, central and equidistant installation of consolidated residential conglomerates cluster or about to development, as also through always outstanding and monumental buildings with respect to its surroundings, which marked uniqueness and domain. The choice of architectural types was related to the time and inspired by intellectuals and professionals mostly outsiders who contributed with expertise and experience to sponsor buildings were recognized as outstanding and precursor of the time. The intensity of use of the resources that requested the demanding structures forced to the Catholic church to establish funding strategies designed to compensate for the lack of funds from the State. For which convened to different actors who participated from their borders and depending on their interests covering from the altruism up to the rentabilización of its patrimony. The Catholic Church organization behaves the same way as any other organization: seeks to expand, focus, control and manage. Looking for coding the entire environment (Raffestin, 2011), seeks to transcend and succeeds materially from its building.

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T-cell activation requires interaction of T-cell receptors (TCR) with peptide epitopes bound by major histocompatibility complex (MHC) proteins. This interaction occurs at a special cell-cell junction known as the immune or immunological synapse. Fluorescence microscopy has shown that the interplay among one agonist peptide-MHC (pMHC), one TCR and one CD4 provides the minimum complexity needed to trigger transient calcium signalling. We describe a computational approach to the study of the immune synapse. Using molecular dynamics simulation, we report here on a study of the smallest viable model, a TCR-pMHC-CD4 complex in a membrane environment. The computed structural and thermodynamic properties are in fair agreement with experiment. A number of biomolecules participate in the formation of the immunological synapse. Multi-scale molecular dynamics simulations may be the best opportunity we have to reach a full understanding of this remarkable supra-macromolecular event at a cell-cell junction.

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The freshwater Everglades is a complex system containing thousands of tree islands embedded within a marsh-grassland matrix. The tree island-marsh mosaic is shaped and maintained by hydrologic, edaphic and biological mechanisms that interact across multiple scales. Preserving tree islands requires a more integrated understanding of how scale-dependent phenomena interact in the larger freshwater system. The hierarchical patch dynamics paradigm provides a conceptual framework for exploring multi-scale interactions within complex systems. We used a three-tiered approach to examine the spatial variability and patterning of nutrients in relation to site parameters within and between two hydrologically defined Everglades landscapes: the freshwater Marl Prairie and the Ridge and Slough. Results were scale-dependent and complexly interrelated. Total carbon and nitrogen patterning were correlated with organic matter accumulation, driven by hydrologic conditions at the system scale. Total and bioavailable phosphorus were most strongly related to woody plant patterning within landscapes, and were found to be 3 to 11 times more concentrated in tree island soils compared to surrounding marshes. Below canopy resource islands in the slough were elongated in a downstream direction, indicating soil resource directional drift. Combined multi-scale results suggest that hydrology plays a significant role in landscape patterning and also the development and maintenance of tree islands. Once developed, tree islands appear to exert influence over the spatial distribution of nutrients, which can reciprocally affect other ecological processes.

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RNA viruses are an important cause of global morbidity and mortality. The rapid evolutionary rates of RNA virus pathogens, caused by high replication rates and error-prone polymerases, can make the pathogens difficult to control. RNA viruses can undergo immune escape within their hosts and develop resistance to the treatment and vaccines we design to fight them. Understanding the spread and evolution of RNA pathogens is essential for reducing human suffering. In this dissertation, I make use of the rapid evolutionary rate of viral pathogens to answer several questions about how RNA viruses spread and evolve. To address each of the questions, I link mathematical techniques for modeling viral population dynamics with phylogenetic and coalescent techniques for analyzing and modeling viral genetic sequences and evolution. The first project uses multi-scale mechanistic modeling to show that decreases in viral substitution rates over the course of an acute infection, combined with the timing of infectious hosts transmitting new infections to susceptible individuals, can account for discrepancies in viral substitution rates in different host populations. The second project combines coalescent models with within-host mathematical models to identify driving evolutionary forces in chronic hepatitis C virus infection. The third project compares the effects of intrinsic and extrinsic viral transmission rate variation on viral phylogenies.

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The Pico de Navas landslide was a large-magnitude rotational movement, affecting 50x106m3 of hard to soft rocks. The objectives of this study were: (1) to characterize the landslide in terms of geology, geomorphological features and geotechnical parameters; and (2) to obtain an adequate geomechanical model to comprehensively explain its rupture, considering topographic, hydro-geological and geomechanical conditions. The rupture surface crossed, from top to bottom: (a) more than 200 m of limestone and clay units of the Upper Cretaceous, affected by faults; and (b) the Albian unit of Utrillas facies composed of silty sand with clay (Kaolinite) of the Lower Cretaceous. This sand played an important role in the basal failure of the slide due to the influence of fine particles (silt and clay), which comprised on average more than 70% of the sand, and the high content presence of kaolinite (>40%) in some beds. Its geotechnical parameters are: unit weight (δ) = 19-23 KN/m3; friction angle (φ) = 13º-38º and cohesion (c) = 10-48 KN/m2. Its microstructure consists of accumulations of kaolinite crystals stuck to terrigenous grains, making clayey peds. We hypothesize that the presence of these aggregates was the internal cause of fluidification of this layer once wet. Besides the faulted structure of the massif, other conditioning factors of the movement were: the large load of the upper limestone layers; high water table levels; high water pore pressure; and the loss of strength due to wet conditions. The 3D simulation of the stability conditions concurs with our hypothesis. The landslide occurred in the Recent or Middle Holocene, certainly before at least 500 BC and possibly during a wet climate period. Today, it appears to be inactive. This study helps to understand the frequent slope instabilities all along the Iberian Range when facies Utrillas is present.

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This paper presents the novel theory for performing multi-agent activity recognition without requiring large training corpora. The reduced need for data means that robust probabilistic recognition can be performed within domains where annotated datasets are traditionally unavailable. Complex human activities are composed from sequences of underlying primitive activities. We do not assume that the exact temporal ordering of primitives is necessary, so can represent complex activity using an unordered bag. Our three-tier architecture comprises low-level video tracking, event analysis and high-level inference. High-level inference is performed using a new, cascading extension of the Rao–Blackwellised Particle Filter. Simulated annealing is used to identify pairs of agents involved in multi-agent activity. We validate our framework using the benchmarked PETS 2006 video surveillance dataset and our own sequences, and achieve a mean recognition F-Score of 0.82. Our approach achieves a mean improvement of 17% over a Hidden Markov Model baseline.

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Résumé : Face à l’accroissement de la résolution spatiale des capteurs optiques satellitaires, de nouvelles stratégies doivent être développées pour classifier les images de télédétection. En effet, l’abondance de détails dans ces images diminue fortement l’efficacité des classifications spectrales; de nombreuses méthodes de classification texturale, notamment les approches statistiques, ne sont plus adaptées. À l’inverse, les approches structurelles offrent une ouverture intéressante : ces approches orientées objet consistent à étudier la structure de l’image pour en interpréter le sens. Un algorithme de ce type est proposé dans la première partie de cette thèse. Reposant sur la détection et l’analyse de points-clés (KPC : KeyPoint-based Classification), il offre une solution efficace au problème de la classification d’images à très haute résolution spatiale. Les classifications effectuées sur les données montrent en particulier sa capacité à différencier des textures visuellement similaires. Par ailleurs, il a été montré dans la littérature que la fusion évidentielle, reposant sur la théorie de Dempster-Shafer, est tout à fait adaptée aux images de télédétection en raison de son aptitude à intégrer des concepts tels que l’ambiguïté et l’incertitude. Peu d’études ont en revanche été menées sur l’application de cette théorie à des données texturales complexes telles que celles issues de classifications structurelles. La seconde partie de cette thèse vise à combler ce manque, en s’intéressant à la fusion de classifications KPC multi-échelle par la théorie de Dempster-Shafer. Les tests menés montrent que cette approche multi-échelle permet d’améliorer la classification finale dans le cas où l’image initiale est de faible qualité. De plus, l’étude effectuée met en évidence le potentiel d’amélioration apporté par l’estimation de la fiabilité des classifications intermédiaires, et fournit des pistes pour mener ces estimations.

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Object recognition has long been a core problem in computer vision. To improve object spatial support and speed up object localization for object recognition, generating high-quality category-independent object proposals as the input for object recognition system has drawn attention recently. Given an image, we generate a limited number of high-quality and category-independent object proposals in advance and used as inputs for many computer vision tasks. We present an efficient dictionary-based model for image classification task. We further extend the work to a discriminative dictionary learning method for tensor sparse coding. In the first part, a multi-scale greedy-based object proposal generation approach is presented. Based on the multi-scale nature of objects in images, our approach is built on top of a hierarchical segmentation. We first identify the representative and diverse exemplar clusters within each scale. Object proposals are obtained by selecting a subset from the multi-scale segment pool via maximizing a submodular objective function, which consists of a weighted coverage term, a single-scale diversity term and a multi-scale reward term. The weighted coverage term forces the selected set of object proposals to be representative and compact; the single-scale diversity term encourages choosing segments from different exemplar clusters so that they will cover as many object patterns as possible; the multi-scale reward term encourages the selected proposals to be discriminative and selected from multiple layers generated by the hierarchical image segmentation. The experimental results on the Berkeley Segmentation Dataset and PASCAL VOC2012 segmentation dataset demonstrate the accuracy and efficiency of our object proposal model. Additionally, we validate our object proposals in simultaneous segmentation and detection and outperform the state-of-art performance. To classify the object in the image, we design a discriminative, structural low-rank framework for image classification. We use a supervised learning method to construct a discriminative and reconstructive dictionary. By introducing an ideal regularization term, we perform low-rank matrix recovery for contaminated training data from all categories simultaneously without losing structural information. A discriminative low-rank representation for images with respect to the constructed dictionary is obtained. With semantic structure information and strong identification capability, this representation is good for classification tasks even using a simple linear multi-classifier.

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We review the use of neural field models for modelling the brain at the large scales necessary for interpreting EEG, fMRI, MEG and optical imaging data. Albeit a framework that is limited to coarse-grained or mean-field activity, neural field models provide a framework for unifying data from different imaging modalities. Starting with a description of neural mass models we build to spatially extended cortical models of layered two-dimensional sheets with long range axonal connections mediating synaptic interactions. Reformulations of the fundamental non-local mathematical model in terms of more familiar local differential (brain wave) equations are described. Techniques for the analysis of such models, including how to determine the onset of spatio-temporal pattern forming instabilities, are reviewed. Extensions of the basic formalism to treat refractoriness, adaptive feedback and inhomogeneous connectivity are described along with open challenges for the development of multi-scale models that can integrate macroscopic models at large spatial scales with models at the microscopic scale.

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Overrecentdecades,remotesensinghasemergedasaneffectivetoolforimprov- ing agriculture productivity. In particular, many works have dealt with the problem of identifying characteristics or phenomena of crops and orchards on different scales using remote sensed images. Since the natural processes are scale dependent and most of them are hierarchically structured, the determination of optimal study scales is mandatory in understanding these processes and their interactions. The concept of multi-scale/multi- resolution inherent to OBIA methodologies allows the scale problem to be dealt with. But for that multi-scale and hierarchical segmentation algorithms are required. The question that remains unsolved is to determine the suitable scale segmentation that allows different objects and phenomena to be characterized in a single image. In this work, an adaptation of the Simple Linear Iterative Clustering (SLIC) algorithm to perform a multi-scale hierarchi- cal segmentation of satellite images is proposed. The selection of the optimal multi-scale segmentation for different regions of the image is carried out by evaluating the intra- variability and inter-heterogeneity of the regions obtained on each scale with respect to the parent-regions defined by the coarsest scale. To achieve this goal, an objective function, that combines weighted variance and the global Moran index, has been used. Two different kinds of experiment have been carried out, generating the number of regions on each scale through linear and dyadic approaches. This methodology has allowed, on the one hand, the detection of objects on different scales and, on the other hand, to represent them all in a sin- gle image. Altogether, the procedure provides the user with a better comprehension of the land cover, the objects on it and the phenomena occurring.

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During the last decade many cities have sought to promote creativity as a driver for economic growth. They have done this by encouraging specific sectors of creative industries. This paper focuses on the film industry as one of these sectors which also has a high level of interaction with place. Film industry, has had an important role in incubating the creativity potential. It can be a powerful magnet for creative people, fostering indigenous creativity and attracting outside talent, and might thus contribute to the formation of creative cities. This recent research suggests that the film industry has positively effect on tourism by increasing place recognition through the locations used in films and for cities that host film festivals. Film festivals provide events, workshops and experiences that allow visitors to express themselves through interaction with the place and its living culture. This paper examines the importance of creative industries for both urban development and sustainable tourism. To explore the relation between creative tourism, culture and the film industry and its effect on successful tourism planning this paper presents the preliminary findings of case studies of the film industry in Beyo

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Osteoporosis is a disease characterized by low bone mass and micro-architectural deterioration of bone tissue, with a consequent increase in bone fragility and susceptibility to fracture. Osteoporosis affects over 200 million people worldwide, with an estimated 1.5 million fractures annually in the United States alone, and with attendant costs exceeding $10 billion dollars per annum. Osteoporosis reduces bone density through a series of structural changes to the honeycomb-like trabecular bone structure (micro-structure). The reduced bone density, coupled with the microstructural changes, results in significant loss of bone strength and increased fracture risk. Vertebral compression fractures are the most common type of osteoporotic fracture and are associated with pain, increased thoracic curvature, reduced mobility, and difficulty with self care. Surgical interventions, such as kyphoplasty or vertebroplasty, are used to treat osteoporotic vertebral fractures by restoring vertebral stability and alleviating pain. These minimally invasive procedures involve injecting bone cement into the fractured vertebrae. The techniques are still relatively new and while initial results are promising, with the procedures relieving pain in 70-95% of cases, medium-term investigations are now indicating an increased risk of adjacent level fracture following the procedure. With the aging population, understanding and treatment of osteoporosis is an increasingly important public health issue in developed Western countries. The aim of this study was to investigate the biomechanics of spinal osteoporosis and osteoporotic vertebral compression fractures by developing multi-scale computational, Finite Element (FE) models of both healthy and osteoporotic vertebral bodies. The multi-scale approach included the overall vertebral body anatomy, as well as a detailed representation of the internal trabecular microstructure. This novel, multi-scale approach overcame limitations of previous investigations by allowing simultaneous investigation of the mechanics of the trabecular micro-structure as well as overall vertebral body mechanics. The models were used to simulate the progression of osteoporosis, the effect of different loading conditions on vertebral strength and stiffness, and the effects of vertebroplasty on vertebral and trabecular mechanics. The model development process began with the development of an individual trabecular strut model using 3D beam elements, which was used as the building block for lattice-type, structural trabecular bone models, which were in turn incorporated into the vertebral body models. At each stage of model development, model predictions were compared to analytical solutions and in-vitro data from existing literature. The incremental process provided confidence in the predictions of each model before incorporation into the overall vertebral body model. The trabecular bone model, vertebral body model and vertebroplasty models were validated against in-vitro data from a series of compression tests performed using human cadaveric vertebral bodies. Firstly, trabecular bone samples were acquired and morphological parameters for each sample were measured using high resolution micro-computed tomography (CT). Apparent mechanical properties for each sample were then determined using uni-axial compression tests. Bone tissue properties were inversely determined using voxel-based FE models based on the micro-CT data. Specimen specific trabecular bone models were developed and the predicted apparent stiffness and strength were compared to the experimentally measured apparent stiffness and strength of the corresponding specimen. Following the trabecular specimen tests, a series of 12 whole cadaveric vertebrae were then divided into treated and non-treated groups and vertebroplasty performed on the specimens of the treated group. The vertebrae in both groups underwent clinical-CT scanning and destructive uniaxial compression testing. Specimen specific FE vertebral body models were developed and the predicted mechanical response compared to the experimentally measured responses. The validation process demonstrated that the multi-scale FE models comprising a lattice network of beam elements were able to accurately capture the failure mechanics of trabecular bone; and a trabecular core represented with beam elements enclosed in a layer of shell elements to represent the cortical shell was able to adequately represent the failure mechanics of intact vertebral bodies with varying degrees of osteoporosis. Following model development and validation, the models were used to investigate the effects of progressive osteoporosis on vertebral body mechanics and trabecular bone mechanics. These simulations showed that overall failure of the osteoporotic vertebral body is initiated by failure of the trabecular core, and the failure mechanism of the trabeculae varies with the progression of osteoporosis; from tissue yield in healthy trabecular bone, to failure due to instability (buckling) in osteoporotic bone with its thinner trabecular struts. The mechanical response of the vertebral body under load is highly dependent on the ability of the endplates to deform to transmit the load to the underlying trabecular bone. The ability of the endplate to evenly transfer the load through the core diminishes with osteoporosis. Investigation into the effect of different loading conditions on the vertebral body found that, because the trabecular bone structural changes which occur in osteoporosis result in a structure that is highly aligned with the loading direction, the vertebral body is consequently less able to withstand non-uniform loading states such as occurs in forward flexion. Changes in vertebral body loading due to disc degeneration were simulated, but proved to have little effect on osteoporotic vertebra mechanics. Conversely, differences in vertebral body loading between simulated invivo (uniform endplate pressure) and in-vitro conditions (where the vertebral endplates are rigidly cemented) had a dramatic effect on the predicted vertebral mechanics. This investigation suggested that in-vitro loading using bone cement potting of both endplates has major limitations in its ability to represent vertebral body mechanics in-vivo. And lastly, FE investigation into the biomechanical effect of vertebroplasty was performed. The results of this investigation demonstrated that the effect of vertebroplasty on overall vertebra mechanics is strongly governed by the cement distribution achieved within the trabecular core. In agreement with a recent study, the models predicted that vertebroplasty cement distributions which do not form one continuous mass which contacts both endplates have little effect on vertebral body stiffness or strength. In summary, this work presents the development of a novel, multi-scale Finite Element model of the osteoporotic vertebral body, which provides a powerful new tool for investigating the mechanics of osteoporotic vertebral compression fractures at the trabecular bone micro-structural level, and at the vertebral body level.