860 resultados para RU(BPY)(3)(3 )-BASED CHEMILUMINESCENCE DETECTION
Resumo:
This master’s thesis describes the research done at the Medical Technology Laboratory (LTM) of the Rizzoli Orthopedic Institute (IOR, Bologna, Italy), which focused on the characterization of the elastic properties of the trabecular bone tissue, starting from october 2012 to present. The approach uses computed microtomography to characterize the architecture of trabecular bone specimens. With the information obtained from the scanner, specimen-specific models of trabecular bone are generated for the solution with the Finite Element Method (FEM). Along with the FEM modelling, mechanical tests are performed over the same reconstructed bone portions. From the linear-elastic stage of mechanical tests presented by experimental results, it is possible to estimate the mechanical properties of the trabecular bone tissue. After a brief introduction on the biomechanics of the trabecular bone (chapter 1) and on the characterization of the mechanics of its tissue using FEM models (chapter 2), the reliability analysis of an experimental procedure is explained (chapter 3), based on the high-scalable numerical solver ParFE. In chapter 4, the sensitivity analyses on two different parameters for micro-FEM model’s reconstruction are presented. Once the reliability of the modeling strategy has been shown, a recent layout for experimental test, developed in LTM, is presented (chapter 5). Moreover, the results of the application of the new layout are discussed, with a stress on the difficulties connected to it and observed during the tests. Finally, a prototype experimental layout for the measure of deformations in trabecular bone specimens is presented (chapter 6). This procedure is based on the Digital Image Correlation method and is currently under development in LTM.
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Innerhalb des Untersuchungsgebiets Schleswig-Holstein wurden 39.712 topographische Hohlformen detektiert. Genutzt wurden dazu ESRI ArcMap 9.3 und 10.0. Der Datenaufbereitung folgten weitere Kalkulationen in MATLAB R2010b. Jedes Objekt wurde räumlich mit seinen individuellen Eigenschaften verschnitten. Dazu gehörten Fläche, Umfang, Koordinaten (Zentroide), Tiefe und maximale Tiefe der Hohlform und Formfaktoren wie Rundheit, Konvexität und Elongation. Ziel der vorgestellten Methoden war die Beantwortung von drei Fragestellungen: Sind negative Landformen dazu geeignet Landschaftseinheiten und Eisvorstöße zu unterscheiden und zu bestimmen? Existiert eine Kopplung von Depressionen an der rezenten Topographie zu geologischen Tiefenstrukturen? Können Senken unterschiedlicher Entstehung anhand ihrer Formcharakteristik unterteilt werden? Die vorgenommene Klassifikation der großen Landschaftseinheiten basiert auf der Annahme, dass sowohl Jungmoränengebiete, ihre Vorflächen als auch Altmoränengebiete durch charakteristische, abflusslose Hohlformen, wie Toteislöcher, Seen, etc. abgegrenzt werden können. Normalerweise sind solche Depressionen in der Natur eher selten, werden jedoch für ehemalige Glaziallandschaften als typisch erachtet. Ziel war es, die geologischen Haupteinheiten, Eisvorstöße und Moränengebiete der letzten Vereisungen zu differenzieren. Zur Bearbeitung wurde ein Detektionsnetz verwendet, das auf quadratischen Zellen beruht. Die Ergebnisse zeigen, dass durch die alleinige Nutzung von Depressionen zur Klassifizierung von Landschaftseinheiten Gesamtgenauigkeiten von bis zu 71,4% erreicht werden können. Das bedeutet, dass drei von vier Detektionszellen korrekt zugeordnet werden können. Jungmoränen, Altmoränen, periglazialeVorflächen und holozäne Bereiche können mit Hilfe der Hohlformen mit großer Sicherheit voneinander unterschieden und korrekt zugeordnet werden. Dies zeigt, dass für die jeweiligen Einheiten tatsächlich bestimmte Senkenformen typisch sind. Die im ersten Schritt detektierten Senken wurden räumlich mit weiterreichenden geologischen Informationen verschnitten, um zu untersuchen, inwieweit natürliche Depressionen nur glazial entstanden sind oder ob ihre Ausprägung auch mit tiefengeologischen Strukturen in Zusammenhang steht. 25.349 (63,88%) aller Senken sind kleiner als 10.000 m² und liegen in Jungmoränengebieten und können vermutlich auf glaziale und periglaziale Einflüsse zurückgeführt werden. 2.424 Depressionen liegen innerhalb der Gebiete subglazialer Rinnen. 1.529 detektierte Hohlformen liegen innerhalb von Subsidenzgebieten, von denen 1.033 innerhalb der Marschländer im Westen verortet sind. 919 große Strukturen über 1 km Größe entlang der Nordsee sind unter anderem besonders gut mit Kompaktionsbereichen elsterzeitlicher Rinnen zu homologisieren.344 dieser Hohlformen sind zudem mit Tunneltälern im Untergrund assoziiert. Diese Parallelität von Depressionen und den teils über 100 m tiefen Tunneltälern kann auf Sedimentkompaktion zurückgeführt werden. Ein Zusammenhang mit der Zersetzung postglazialen, organischen Materials ist ebenfalls denkbar. Darüber hinaus wurden in einer Distanz von 10 km um die miozän aktiven Flanken des Glückstadt-Grabens negative Landformen detektiert, die Verbindungen zu oberflächennahen Störungsstrukturen zeigen. Dies ist ein Anzeichen für Grabenaktivität während und gegen Ende der Vereisung und während des Holozäns. Viele dieser störungsbezogenen Senken sind auch mit Tunneltälern assoziiert. Entsprechend werden drei zusammenspielende Prozesse identifiziert, die mit der Entstehung der Hohlformen in Verbindung gebracht werden können. Eine mögliche Interpretation ist, dass die östliche Flanke des Glückstadt-Grabens auf die Auflast des elsterzeitlichen Eisschilds reagierte, während sich subglazial zeitgleich Entwässerungsrinnen entlang der Schwächezonen ausbildeten. Diese wurden in den Warmzeiten größtenteils durch Torf und unverfestigte Sedimente verfüllt. Die Gletschervorstöße der späten Weichselzeit aktivierten erneut die Flanken und zusätzlich wurde das Lockermaterial exariert, wodurch große Seen, wie z. B. der Große Plöner See entstanden sind. Insgesamt konnten 29 große Depressionen größer oder gleich 5 km in Schleswig-Holstein identifiziert werden, die zumindest teilweise mit Beckensubsidenz und Aktivität der Grabenflanken verbunden sind, bzw. sogar auf diese zurückgehen.Die letzte Teilstudie befasste sich mit der Differenzierung von Senken nach deren potentieller Genese sowie der Unterscheidung natürlicher von künstlichen Hohlformen. Dazu wurde ein DEM für einen Bereich im Norden Niedersachsens verwendet, das eine Gesamtgröße von 252 km² abdeckt. Die Ergebnisse zeigen, dass glazial entstandene Depressionen gute Rundheitswerte aufweisen und auch Elongation und Exzentrizität eher kompakte Formen anzeigen. Lineare negative Strukturen sind oft Flüsse oder Altarme. Sie können als holozäne Strukturen identifiziert werden. Im Gegensatz zu den potentiell natürlichen Senkenformen sind künstlich geschaffene Depressionen eher eckig oder ungleichmäßig und tendieren meist nicht zu kompakten Formen. Drei Hauptklassen topographischer Depressionen konnten identifiziert und voneinander abgegrenzt werden: Potentiell glaziale Senken (Toteisformen), Flüsse, Seiten- und Altarme sowie künstliche Senken. Die Methode der Senkenklassifikation nach Formparametern ist ein sinnvolles Instrument, um verschiedene Typen unterscheiden zu können und um bei geologischen Fragestellungen künstliche Senken bereits vor der Verarbeitung auszuschließen. Jedoch zeigte sich, dass die Ergebnisse im Wesentlichen von der Auflösung des entsprechenden Höhenmodells abhängen.
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Die antioxidative Aktivität des Enzyms Glutathionperoxidase-1 (GPx-1) schützt vor Atherosklerose und ihren Folgeerkrankungen. In einer Vorstudie konnten wir zeigen, dass der Mangel an GPx-1 die Atheroskleroseentwicklung in Apolipoprotein E defizienten (ApoE-/-) Mäusen beschleunigt und modifiziert. Allerdings sind die Verteilung der GPx-1 in atherosklerotischen Läsionen und die Mechanismen für den erhöhten Makrophagengehalt in der Läsion noch nicht geklärt. Deshalb haben wir (1) die in-situ Expression der GPx-Isoformen in atherosklerotischen Läsionen von GPx-1-/-ApoE-/- und ApoE-/- Mäusen und (2) den Einfluss der GPx-1 Defizienz auf die Schaumzellbildung und Proliferation der Peritonealmakrophagen in ApoE-/- Mäusen untersucht. Die GPx-1-/-ApoE-/- und ApoE-/- Weibchen wurden für 6 und 12 Wochen auf einer atherogenen „Western-type“ Diät gehalten. Die in situ-Hybridisierung zeigte, dass die verschiedenen Isoformen der GPx (GPx-1, GPx-3, GPx-4) vorwiegend in Makrophagen, nicht jedoch in glatten Muskelzellen der atherosklerotischen Läsionen von ApoE-/- Mäusen exprimiert wurden. Für die in vitro Untersuchungen wurden 5 Monate alte, GPx-1 defiziente und Wildtyp-Mäuse, gehalten auf Normaldiät, verwendet. Die Öl-Rot-O Färbung zeigte, dass die GPx-1 Defizienz die OxLDL (oxidiertes LDL) - und E-LDL (enzymatisch modifiziertes LDL) - induzierte Schaumzellbildung förderte. Darüber hinaus war die OxLDL-induzierte Cholesterinakkumulation (zellulärer Cholesterinester/ Cholesterin-Gehalt) in GPx-1 defizienten Makrophagen verstärkt, sodass ein Mangel an GPx-1 die Aufnahme von OxLDL durch Monozyten und damit die Umwandlung in Schaumzellen beschleunigt. Hinsichtlich der Proliferation zeigte sich, dass MCSF (Macrophage Colony-Stimulating Facotr) ein stärkerer Stimulus als OxLDL ist. Ein Mangel an GPx-1 fördert die Proliferation zusätzlich. Daran ist die ERK1/2 (extracellular-signal regulated kinase 1/2) - Kaskade beteiligt, denn es wurde eine schnelle Phosphorylierung der ERK1/2-Kaskade durch MCSF und/oder OxLDL nachgewiesen. Entsprechend reduzieren ERK1/2-Inhibitoren die proliferative Aktivität der Makrophagen. Die Hemmung der p38-MAPK (p38 mitogen-activated protein kinase) führt zur vermehrten Proliferation und bei gleichzeitig verringerter Caspase-3/7 Aktivität der Makrophagen unabhängig von der Expression der GPx-1. Ein Mangel an GPx-1 hat auch keinen Einfluss auf die MCSF-vermittelte Aktivierung der p38-MAPK und JNK (c-Jun N-terminal kinase). Zusammenfassend läßt sich feststellen, dass die GPx-1-Defizienz einen signifikanten Einfluss auf die Schaumzellbildung und Proliferation von Makrophagen hat, was zur Beschleunigung der Atherosklerose und zu vermehrter Zellularität der entstehenden atherosklerotischen Läsionen führt. Die Proliferation wird über den ERK1/2 Signal-transduktionsweg positiv und über den p38-MAPK Weg negativ reguliert, wobei die ERK1/2-Kaskade empfindlich gegenüber oxidativem Stress bei GPx-1-Defizienz ist.
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BACKGROUND Acute exposure to high altitude stimulates free radical formation in lowlanders, yet whether this persists during chronic exposure in healthy, well-adapted and maladapted highlanders suffering from chronic mountain sickness (CMS) remains to be established. METHODS Oxidative-nitrosative stress (as determined by the presence of the biomarkers ascorbate radical [A •- ], via electron paramagnetic resonance spectroscopy, and nitrite [NO 2 2 ], via ozone-based chemiluminescence) was assessed in venous blood of 25 male highlanders in Bolivia living at 3,600 m with CMS (n 5 13, CMS 1 ) and without CMS (n 5 12, CMS 2 ). Twelve age- and activity-matched, healthy, male lowlanders were examined at sea level and during acute hypoxia. We also measured fl ow-mediated dilatation (FMD), arterial stiffness defined by augmentation index normalized for a heart rate of 75 beats/min (AIx-75), and carotid intima-media thickness (IMT). RESULTS Compared with normoxic lowlanders, oxidative-nitrosative stress was moderately increased in the CMS 2 group ( P , .05), as indicated by elevated A •- (3,191 457 arbitrary units [AU] vs 2,640 445 AU) and lower NO 2 2 (206 55 nM vs 420 128 nM), whereas vascular function remained preserved. This was comparable to that observed during acute hypoxia in lowlanders in whom vascular dysfunction is typically observed. In contrast, this response was markedly exaggerated in CMS 1 group (A •- , 3,765 429 AU; NO 2 2 , 148 50 nM) compared with both the CMS 2 group and lowlanders ( P , .05). This was associated with systemic vascular dysfunction as indicated by lower ( P , .05 vs CMS 2 ) FMD (4.2% 0.7% vs 7.6% 1.7%) and increased AIx-75 (23% 8% vs 12% 7%) and carotid IMT (714 127 m M vs 588 94 m M). CONCLUSIONS Healthy highlanders display a moderate, sustained elevation in oxidative-nitrosative stress that, unlike the equivalent increase evoked by acute hypoxia in healthy lowlanders, failed to affect vascular function. Its more marked elevation in patients with CMS may contribute to systemic vascular dysfunction.
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Background Atrial fibrillation (AF) is common and may have severe consequences. Continuous long-term electrocardiogram (ECG) is widely used for AF screening. Recently, commercial ECG analysis software was launched, which automatically detects AF in long-term ECGs. It has been claimed that such tools offer reliable AF screening and save time for ECG analysis. However, this has not been investigated in a real-life patient cohort. Objective To investigate the performance of automatic software-based screening for AF in long-term ECGs. Methods Two independent physicians manually screened 22,601 hours of continuous long-term ECGs from 150 patients for AF. Presence, number, and duration of AF episodes were registered. Subsequently, the recordings were screened for AF by an established ECG analysis software (Pathfinder SL), and its performance was validated against the thorough manual analysis (gold standard). Results Sensitivity and specificity for AF detection was 98.5% (95% confidence interval 91.72%–99.96%) and 80.21% (95% confidence interval 70.83%–87.64%), respectively. Software-based AF detection was inferior to manual analysis by physicians (P < .0001). Median AF duration was underestimated (19.4 hours vs 22.1 hours; P < .001) and median number of AF episodes was overestimated (32 episodes vs 2 episodes; P < .001) by the software. In comparison to extensive quantitative manual ECG analysis, software-based analysis saved time (2 minutes vs 19 minutes; P < .001). Conclusion Owing to its high sensitivity and ability to save time, software-based ECG analysis may be used as a screening tool for AF. An additional manual confirmatory analysis may be required to reduce the number of false-positive findings.
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This chapter describes the systematics and evolution of Pasteurellaceae with emphasis on new information generated since the 3rd edition of The Prokaryotes which only included chapters dealing with Haemophilus, Actinobacillus, and Pasteurella. A major source of new information for the current chapter has been provided by whole genome sequences now available for many taxa of the family. Some 100 species and species-like taxa have been documented and 18 genera of Pasteurellaceae reported so far. Members of the family include specialized commensals, potential pathogens, or pathogens of vertebrates and mainly survive poorly in other habitats including the external environment. The pathogenic members are of major importance to animal production and human health. Members of Pasteurellaceae have relatively small genomes, probably as a result of adaption to a special habitat. The most important species in veterinary microbiology include Pasteurella multocida, Actinobacillus pleuropneumoniae, [Haemophilus] parasuis, Mannheimia haemolytica, Bibersteinia trehalosi, and Avibacterium paragallinarum, while Haemophilus influenzae and Aggregatibacter actinomycetemcomitans represent the most important species as to human disease. Traditional isolation techniques are still used in both human and veterinary clinical diagnostic laboratories although genetically based diagnostic methods have replaced traditional biochemical/physiological methods for characterization and identification. For all species, MALDI-TOF can now be used as a diagnostic tool. As control and if MALDI-TOF equipment is not at hand, PCR-based specific detection is possible for Pasteurella multocida, Actinobacillus pleuropneumoniae, [Haemophilus] parasuis, Mannheimia haemolytica, Avibacterium paragallinarum, Gallibacterium anatis, Haemophilus influenzae, and Aggregatibacter actinomycetemcomitans. A lot of work has been directed towards identification of virulence factors and understanding host microbe interactions involved in disease.
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Extraction of both pelvic and femoral surface models of a hip joint from CT data for computer-assisted pre-operative planning of hip arthroscopy is addressed. We present a method for a fully automatic image segmentation of a hip joint. Our method works by combining fast random forest (RF) regression based landmark detection, atlas-based segmentation, with articulated statistical shape model (aSSM) based hip joint reconstruction. The two fundamental contributions of our method are: (1) An improved fast Gaussian transform (IFGT) is used within the RF regression framework for a fast and accurate landmark detection, which then allows for a fully automatic initialization of the atlas-based segmentation; and (2) aSSM based fitting is used to preserve hip joint structure and to avoid penetration between the pelvic and femoral models. Validation on 30 hip CT images show that our method achieves high performance in segmenting pelvis, left proximal femur, and right proximal femur surfaces with an average accuracy of 0.59 mm, 0.62 mm, and 0.58 mm, respectively.
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Extraction of surface models of a hip joint from CT data is a pre-requisite step for computer assisted diagnosis and planning (CADP) of periacetabular osteotomy (PAO). Most of existing CADP systems are based on manual segmentation, which is time-consuming and hard to achieve reproducible results. In this paper, we present a Fully Automatic CT Segmentation (FACTS) approach to simultaneously extract both pelvic and femoral models. Our approach works by combining fast random forest (RF) regression based landmark detection, multi-atlas based segmentation, with articulated statistical shape model (aSSM) based fitting. The two fundamental contributions of our approach are: (1) an improved fast Gaussian transform (IFGT) is used within the RF regression framework for a fast and accurate landmark detection, which then allows for a fully automatic initialization of the multi-atlas based segmentation; and (2) aSSM based fitting is used to preserve hip joint structure and to avoid penetration between the pelvic and femoral models. Taking manual segmentation as the ground truth, we evaluated the present approach on 30 hip CT images (60 hips) with a 6-fold cross validation. When the present approach was compared to manual segmentation, a mean segmentation accuracy of 0.40, 0.36, and 0.36 mm was found for the pelvis, the left proximal femur, and the right proximal femur, respectively. When the models derived from both segmentations were used to compute the PAO diagnosis parameters, a difference of 2.0 ± 1.5°, 2.1 ± 1.6°, and 3.5 ± 2.3% were found for anteversion, inclination, and acetabular coverage, respectively. The achieved accuracy is regarded as clinically accurate enough for our target applications.
Resumo:
Automatic segmentation of the hip joint with pelvis and proximal femur surfaces from CT images is essential for orthopedic diagnosis and surgery. It remains challenging due to the narrowness of hip joint space, where the adjacent surfaces of acetabulum and femoral head are hardly distinguished from each other. This chapter presents a fully automatic method to segment pelvic and proximal femoral surfaces from hip CT images. A coarse-to-fine strategy was proposed to combine multi-atlas segmentation with graph-based surface detection. The multi-atlas segmentation step seeks to coarsely extract the entire hip joint region. It uses automatically detected anatomical landmarks to initialize and select the atlas and accelerate the segmentation. The graph based surface detection is to refine the coarsely segmented hip joint region. It aims at completely and efficiently separate the adjacent surfaces of the acetabulum and the femoral head while preserving the hip joint structure. The proposed strategy was evaluated on 30 hip CT images and provided an average accuracy of 0.55, 0.54, and 0.50 mm for segmenting the pelvis, the left and right proximal femurs, respectively.
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El objeto de esta Tesis doctoral es el desarrollo de una metodologia para la deteccion automatica de anomalias a partir de datos hiperespectrales o espectrometria de imagen, y su cartografiado bajo diferentes condiciones tipologicas de superficie y terreno. La tecnologia hiperespectral o espectrometria de imagen ofrece la posibilidad potencial de caracterizar con precision el estado de los materiales que conforman las diversas superficies en base a su respuesta espectral. Este estado suele ser variable, mientras que las observaciones se producen en un numero limitado y para determinadas condiciones de iluminacion. Al aumentar el numero de bandas espectrales aumenta tambien el numero de muestras necesarias para definir espectralmente las clases en lo que se conoce como Maldicion de la Dimensionalidad o Efecto Hughes (Bellman, 1957), muestras habitualmente no disponibles y costosas de obtener, no hay mas que pensar en lo que ello implica en la Exploracion Planetaria. Bajo la definicion de anomalia en su sentido espectral como la respuesta significativamente diferente de un pixel de imagen respecto de su entorno, el objeto central abordado en la Tesis estriba primero en como reducir la dimensionalidad de la informacion en los datos hiperespectrales, discriminando la mas significativa para la deteccion de respuestas anomalas, y segundo, en establecer la relacion entre anomalias espectrales detectadas y lo que hemos denominado anomalias informacionales, es decir, anomalias que aportan algun tipo de informacion real de las superficies o materiales que las producen. En la deteccion de respuestas anomalas se asume un no conocimiento previo de los objetivos, de tal manera que los pixeles se separan automaticamente en funcion de su informacion espectral significativamente diferenciada respecto de un fondo que se estima, bien de manera global para toda la escena, bien localmente por segmentacion de la imagen. La metodologia desarrollada se ha centrado en la implicacion de la definicion estadistica del fondo espectral, proponiendo un nuevo enfoque que permite discriminar anomalias respecto fondos segmentados en diferentes grupos de longitudes de onda del espectro, explotando la potencialidad de separacion entre el espectro electromagnetico reflectivo y emisivo. Se ha estudiado la eficiencia de los principales algoritmos de deteccion de anomalias, contrastando los resultados del algoritmo RX (Reed and Xiaoli, 1990) adoptado como estandar por la comunidad cientifica, con el metodo UTD (Uniform Targets Detector), su variante RXD-UTD, metodos basados en subespacios SSRX (Subspace RX) y metodo basados en proyecciones de subespacios de imagen, como OSPRX (Orthogonal Subspace Projection RX) y PP (Projection Pursuit). Se ha desarrollado un nuevo metodo, evaluado y contrastado por los anteriores, que supone una variacion de PP y describe el fondo espectral mediante el analisis discriminante de bandas del espectro electromagnetico, separando las anomalias con el algortimo denominado Detector de Anomalias de Fondo Termico o DAFT aplicable a sensores que registran datos en el espectro emisivo. Se han evaluado los diferentes metodos de deteccion de anomalias en rangos del espectro electromagnetico del visible e infrarrojo cercano (Visible and Near Infrared-VNIR), infrarrojo de onda corta (Short Wavelenght Infrared-SWIR), infrarrojo medio (Meadle Infrared-MIR) e infrarrojo termico (Thermal Infrared-TIR). La respuesta de las superficies en las distintas longitudes de onda del espectro electromagnetico junto con su entorno, influyen en el tipo y frecuencia de las anomalias espectrales que puedan provocar. Es por ello que se han utilizado en la investigacion cubos de datos hiperepectrales procedentes de los sensores aeroportados cuya estrategia y diseno en la construccion espectrometrica de la imagen difiere. Se han evaluado conjuntos de datos de test de los sensores AHS (Airborne Hyperspectral System), HyMAP Imaging Spectrometer, CASI (Compact Airborne Spectrographic Imager), AVIRIS (Airborne Visible Infrared Imaging Spectrometer), HYDICE (Hyperspectral Digital Imagery Collection Experiment) y MASTER (MODIS/ASTER Simulator). Se han disenado experimentos sobre ambitos naturales, urbanos y semiurbanos de diferente complejidad. Se ha evaluado el comportamiento de los diferentes detectores de anomalias a traves de 23 tests correspondientes a 15 areas de estudio agrupados en 6 espacios o escenarios: Urbano - E1, Semiurbano/Industrial/Periferia Urbana - E2, Forestal - E3, Agricola - E4, Geologico/Volcanico - E5 y Otros Espacios Agua, Nubes y Sombras - E6. El tipo de sensores evaluados se caracteriza por registrar imagenes en un amplio rango de bandas, estrechas y contiguas, del espectro electromagnetico. La Tesis se ha centrado en el desarrollo de tecnicas que permiten separar y extraer automaticamente pixeles o grupos de pixeles cuya firma espectral difiere de manera discriminante de las que tiene alrededor, adoptando para ello como espacio muestral parte o el conjunto de las bandas espectrales en las que ha registrado radiancia el sensor hiperespectral. Un factor a tener en cuenta en la investigacion ha sido el propio instrumento de medida, es decir, la caracterizacion de los distintos subsistemas, sensores imagen y auxiliares, que intervienen en el proceso. Para poder emplear cuantitativamente los datos medidos ha sido necesario definir las relaciones espaciales y espectrales del sensor con la superficie observada y las potenciales anomalias y patrones objetivos de deteccion. Se ha analizado la repercusion que en la deteccion de anomalias tiene el tipo de sensor, tanto en su configuracion espectral como en las estrategias de diseno a la hora de registrar la radiacion prodecente de las superficies, siendo los dos tipos principales de sensores estudiados los barredores o escaneres de espejo giratorio (whiskbroom) y los barredores o escaneres de empuje (pushbroom). Se han definido distintos escenarios en la investigacion, lo que ha permitido abarcar una amplia variabilidad de entornos geomorfologicos y de tipos de coberturas, en ambientes mediterraneos, de latitudes medias y tropicales. En resumen, esta Tesis presenta una tecnica de deteccion de anomalias para datos hiperespectrales denominada DAFT en su variante de PP, basada en una reduccion de la dimensionalidad proyectando el fondo en un rango de longitudes de onda del espectro termico distinto de la proyeccion de las anomalias u objetivos sin firma espectral conocida. La metodologia propuesta ha sido probada con imagenes hiperespectrales reales de diferentes sensores y en diferentes escenarios o espacios, por lo tanto de diferente fondo espectral tambien, donde los resultados muestran los beneficios de la aproximacion en la deteccion de una gran variedad de objetos cuyas firmas espectrales tienen suficiente desviacion respecto del fondo. La tecnica resulta ser automatica en el sentido de que no hay necesidad de ajuste de parametros, dando resultados significativos en todos los casos. Incluso los objetos de tamano subpixel, que no pueden distinguirse a simple vista por el ojo humano en la imagen original, pueden ser detectados como anomalias. Ademas, se realiza una comparacion entre el enfoque propuesto, la popular tecnica RX y otros detectores tanto en su modalidad global como local. El metodo propuesto supera a los demas en determinados escenarios, demostrando su capacidad para reducir la proporcion de falsas alarmas. Los resultados del algoritmo automatico DAFT desarrollado, han demostrado la mejora en la definicion cualitativa de las anomalias espectrales que identifican a entidades diferentes en o bajo superficie, reemplazando para ello el modelo clasico de distribucion normal con un metodo robusto que contempla distintas alternativas desde el momento mismo de la adquisicion del dato hiperespectral. Para su consecucion ha sido necesario analizar la relacion entre parametros biofisicos, como la reflectancia y la emisividad de los materiales, y la distribucion espacial de entidades detectadas respecto de su entorno. Por ultimo, el algoritmo DAFT ha sido elegido como el mas adecuado para sensores que adquieren datos en el TIR, ya que presenta el mejor acuerdo con los datos de referencia, demostrando una gran eficacia computacional que facilita su implementacion en un sistema de cartografia que proyecte de forma automatica en un marco geografico de referencia las anomalias detectadas, lo que confirma un significativo avance hacia un sistema en lo que se denomina cartografia en tiempo real. The aim of this Thesis is to develop a specific methodology in order to be applied in automatic detection anomalies processes using hyperspectral data also called hyperspectral scenes, and to improve the classification processes. Several scenarios, areas and their relationship with surfaces and objects have been tested. The spectral characteristics of reflectance parameter and emissivity in the pattern recognition of urban materials in several hyperspectral scenes have also been tested. Spectral ranges of the visible-near infrared (VNIR), shortwave infrared (SWIR) and thermal infrared (TIR) from hyperspectral data cubes of AHS (Airborne Hyperspectral System), HyMAP Imaging Spectrometer, CASI (Compact Airborne Spectrographic Imager), AVIRIS (Airborne Visible Infrared Imaging Spectrometer), HYDICE (Hyperspectral Digital Imagery Collection Experiment) and MASTER (MODIS/ASTER Simulator) have been used in this research. It is assumed that there is not prior knowledge of the targets in anomaly detection. Thus, the pixels are automatically separated according to their spectral information, significantly differentiated with respect to a background, either globally for the full scene, or locally by the image segmentation. Several experiments on different scenarios have been designed, analyzing the behavior of the standard RX anomaly detector and different methods based on subspace, image projection and segmentation-based anomaly detection methods. Results and their consequences in unsupervised classification processes are discussed. Detection of spectral anomalies aims at extracting automatically pixels that show significant responses in relation of their surroundings. This Thesis deals with the unsupervised technique of target detection, also called anomaly detection. Since this technique assumes no prior knowledge about the target or the statistical characteristics of the data, the only available option is to look for objects that are differentiated from the background. Several methods have been developed in the last decades, allowing a better understanding of the relationships between the image dimensionality and the optimization of search procedures as well as the subpixel differentiation of the spectral mixture and its implications in anomalous responses. In other sense, image spectrometry has proven to be efficient in the characterization of materials, based on statistical methods using a specific reflection and absorption bands. Spectral configurations in the VNIR, SWIR and TIR have been successfully used for mapping materials in different urban scenarios. There has been an increasing interest in the use of high resolution data (both spatial and spectral) to detect small objects and to discriminate surfaces in areas with urban complexity. This has come to be known as target detection which can be either supervised or unsupervised. In supervised target detection, algorithms lean on prior knowledge, such as the spectral signature. The detection process for matching signatures is not straightforward due to the complications of converting data airborne sensor with material spectra in the ground. This could be further complicated by the large number of possible objects of interest, as well as uncertainty as to the reflectance or emissivity of these objects and surfaces. An important objective in this research is to establish relationships that allow linking spectral anomalies with what can be called informational anomalies and, therefore, identify information related to anomalous responses in some places rather than simply spotting differences from the background. The development in recent years of new hyperspectral sensors and techniques, widen the possibilities for applications in remote sensing of the Earth. Remote sensing systems measure and record electromagnetic disturbances that the surveyed objects induce in their surroundings, by means of different sensors mounted on airborne or space platforms. Map updating is important for management and decisions making people, because of the fast changes that usually happen in natural, urban and semi urban areas. It is necessary to optimize the methodology for obtaining the best from remote sensing techniques from hyperspectral data. The first problem with hyperspectral data is to reduce the dimensionality, keeping the maximum amount of information. Hyperspectral sensors augment considerably the amount of information, this allows us to obtain a better precision on the separation of material but at the same time it is necessary to calculate a bigger number of parameters, and the precision lowers with the increase in the number of bands. This is known as the Hughes effects (Bellman, 1957) . Hyperspectral imagery allows us to discriminate between a huge number of different materials however some land and urban covers are made up with similar material and respond similarly which produces confusion in the classification. The training and the algorithm used for mapping are also important for the final result and some properties of thermal spectrum for detecting land cover will be studied. In summary, this Thesis presents a new technique for anomaly detection in hyperspectral data called DAFT, as a PP's variant, based on dimensionality reduction by projecting anomalies or targets with unknown spectral signature to the background, in a range thermal spectrum wavelengths. The proposed methodology has been tested with hyperspectral images from different imaging spectrometers corresponding to several places or scenarios, therefore with different spectral background. The results show the benefits of the approach to the detection of a variety of targets whose spectral signatures have sufficient deviation in relation to the background. DAFT is an automated technique in the sense that there is not necessary to adjust parameters, providing significant results in all cases. Subpixel anomalies which cannot be distinguished by the human eye, on the original image, however can be detected as outliers due to the projection of the VNIR end members with a very strong thermal contrast. Furthermore, a comparison between the proposed approach and the well-known RX detector is performed at both modes, global and local. The proposed method outperforms the existents in particular scenarios, demonstrating its performance to reduce the probability of false alarms. The results of the automatic algorithm DAFT have demonstrated improvement in the qualitative definition of the spectral anomalies by replacing the classical model by the normal distribution with a robust method. For their achievement has been necessary to analyze the relationship between biophysical parameters such as reflectance and emissivity, and the spatial distribution of detected entities with respect to their environment, as for example some buried or semi-buried materials, or building covers of asbestos, cellular polycarbonate-PVC or metal composites. Finally, the DAFT method has been chosen as the most suitable for anomaly detection using imaging spectrometers that acquire them in the thermal infrared spectrum, since it presents the best results in comparison with the reference data, demonstrating great computational efficiency that facilitates its implementation in a mapping system towards, what is called, Real-Time Mapping.
Resumo:
Video-based vehicle detection is the focus of increasing interest due to its potential towards collision avoidance. In particular, vehicle verification is especially challenging due to the enormous variability of vehicles in size, color, pose, etc. In this paper, a new approach based on supervised learning using Principal Component Analysis (PCA) is proposed that addresses the main limitations of existing methods. Namely, in contrast to classical approaches which train a single classifier regardless of the relative position of the candidate (thus ignoring valuable pose information), a region-dependent analysis is performed by considering four different areas. In addition, a study on the evolution of the classification performance according to the dimensionality of the principal subspace is carried out using PCA features within a SVM-based classification scheme. Indeed, the experiments performed on a publicly available database prove that PCA dimensionality requirements are region-dependent. Hence, in this work, the optimal configuration is adapted to each of them, rendering very good vehicle verification results.
Resumo:
Neste trabalho foi realizado o estudo do comportamento fotoquímico e fotofísico de complexos mononucleares de rênio do tipo fac-[Re(CO)3(N N)(L)]+(N N = 1,10-fenantrolina, phen, dipirido[3,2-a:2,3-c]fenazina, dppz, L= trans-1,2bis(4-piridil)etileno, trans-bpe, trans-4-estirilpiridina. trans-stpy) e dos complexos binucleares [(CO)3(phen)Re(trans-bpe)Re(phen)(CO)3]2+, [(CO)3(phen)Re(trans-bpe)Fe(CN5]2- e [(phen)(CO)3Re(trans-bpe)Os(terpy)(bpy)]3+. O enfoque principal deste trabalho é a investigação das propriedades fotoquímicas dos complexos fac-[ Re(CO)3(phen)(trans-bpe)]+, fac-[Re(CO)3(phen)(trans-stpy)]+ fac-[Re(CO)3(dppz)(trans-bpe)+ e [(CO)3(phen)Re(trans-bpe)Re(phen)(CO)3]2+. Observou-se que os compostos em solução de acetonitrila, sob irradiação a 313, 334 ou 365 nm, apresentam variação espectral com definição de pontos isosbésticos, resultante do processo de fotoisomerização trans→cis do ligante coordenado trans-piridil etileno. Os rendimentos quânticos, Φ, da reação de fotoisomerização foram calculados com base no decaimento espectral das bandas de absorção das transições eletrônicas. Os valores médios determinados para a fotoisomeriação dos complexos em solução de CH3CN variam de 0,15 - 0,39 sob excitação a 313 nm e de 0,12 - 0,33 sob excitação a 365 nm. As reações de fotoisomerização foram monitoradas também por medidas de emissão e por RMN de 1H. Observou-se um aumento da intensidade de luminescência com o tempo de irradiação dos complexos, consistente com o estado emissivo 3MLCT dπ[(Re)→π*(α-diimina). Após irradiação, as reações de fotoisomerização dos complexos foram monitoradas por RMN de 1H. Os sinais de prótons do isômero trans tiveram um decréscimo gradual, enquanto que a intensidade dos sinais referentes aos prótons da espécie cis aumentaram. Os rendimentos quânticos para o processo de fotoisomerização dos complexos foram calculados através da integração das áreas dos sinais de prótons. Os valores obtidos foram maiores, pelo menos o dobro, que aqueles valores obtidos via espectroscopia UV-Vis. O comportamento fotoquímico dos complexos incorporados em polimetacrilato de metila, PMMA, foi também investigado. A fotólise cios complexos em filmes de PMMA conduz à variação espectral, de absorção e emissão, similar àquela observada em solução de acetonitrila, atribuícla ao processo de fotoisomerização trans → cis do ligante coordenado. Este estudo mostra que a fotoisomerização do ligante coordenado trans-piridil etileno pode ser promovida também em meio rígido. Essa característica. típica de um dispositivo molecular, pode ser convenientemente explorada no desenvolvimento de fotossensores. As medidas de TRIR mostram que o estado excitado de menor energia para o fac-[Re(CO)3(phen)(trans-bpe)+ é o 3ππ*. Para o fac-[Re(CO)3(phen)(cis-bpe)]+ a ordem dos estados excitados aparecem invertidas com o 3MLCT <3ππ*, evidenciado pela emissão do complexo cis à temperatura ambiente. Nas espécies binucleares, [(phen) Re(CO)3(trans-bpe)Os(terpy)(bpy)]3+ e [(CO)3(phen)Re(trans-bpe)Fe(CN)5]2-, a fotoisomerização trans → cis do ligante coordenado trans-bpe, característica da subunidade fac-[Re(CO)3(phen)(trans-bpe)]+, é inibida pela competição de transferência de energia intramolecular. Em meio rígido, em PMMA ou em EPA a 77 K, os máximos de emissão dos complexos fac-[Re(CO)3(phen)(cis-bpe)]+, fac-[Re(CO)3(phen)(cis-stpy)r e [(CO)3(phen)Re(cis-bpe)Re(phen)(CO)3]2+ sofrem um deslocamento hipsocrômico com o aumento da rigidez do meio. As mudanças nas propriedades emissivas, em termos de energia e tempo de vida do estado excitado, são discutidas baseadas no efeito rigidocrômico luminescente. O trabalho mostra uma forma interessante de fotos sensibilizar um substrato orgâmco usando o fato de que a coordenação estende a absorção do ligante a uma região de comprimento de onda maior e promove a fotoisomerização assistida por complexos metálicos em energias menores.