396 resultados para Photogrammetry.


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Recent advances in thermal infrared remote sensing include the increased availability of airborne hyperspectral imagers (such as the Hyperspectral Thermal Emission Spectrometer, HyTES, or the Telops HyperCam and the Specim aisaOWL), and it is planned that an increased number spectral bands in the long-wave infrared (LWIR) region will soon be measured from space at reasonably high spatial resolution (by imagers such as HyspIRI). Detailed LWIR emissivity spectra are required to best interpret the observations from such systems. This includes the highly heterogeneous urban environment, whose construction materials are not yet particularly well represented in spectral libraries. Here, we present a new online spectral library of urban construction materials including LWIR emissivity spectra of 74 samples of impervious surfaces derived using measurements made by a portable Fourier Transform InfraRed (FTIR) spectrometer. FTIR emissivity measurements need to be carefully made, else they are prone to a series of errors relating to instrumental setup and radiometric calibration, which here relies on external blackbody sources. The performance of the laboratory-based emissivity measurement approach applied here, that in future can also be deployed in the field (e.g. to examine urban materials in situ), is evaluated herein. Our spectral library also contains matching short-wave (VIS–SWIR) reflectance spectra observed for each urban sample. This allows us to examine which characteristic (LWIR and) spectral signatures may in future best allow for the identification and discrimination of the various urban construction materials, that often overlap with respect to their chemical/mineralogical constituents. Hyperspectral or even strongly multi-spectral LWIR information appears especially useful, given that many urban materials are composed of minerals exhibiting notable reststrahlen/absorption effects in this spectral region. The final spectra and interpretations are included in the London Urban Micromet data Archive (LUMA; http://LondonClimate.info/LUMA/SLUM.html).

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A Canopy Height Profile (CHP) procedure presented in Harding et al. (2001) for large footprint LiDAR data was tested in a closed canopy environment as a way of extracting vertical foliage profiles from LiDAR raw-waveform. In this study, an adaptation of this method to small-footprint data has been shown, tested and validated in an Australian sparse canopy forest at plot- and site-level. Further, the methodology itself has been enhanced by implementing a dataset-adjusted reflectance ratio calculation according to Armston et al. (2013) in the processing chain, and tested against a fixed ratio of 0.5 estimated for the laser wavelength of 1550nm. As a by-product of the methodology, effective leaf area index (LAIe) estimates were derived and compared to hemispherical photography-derived values. To assess the influence of LiDAR aggregation area size on the estimates in a sparse canopy environment, LiDAR CHPs and LAIes were generated by aggregating waveforms to plot- and site-level footprints (plot/site-aggregated) as well as in 5m grids (grid-processed). LiDAR profiles were then compared to leaf biomass field profiles generated based on field tree measurements. The correlation between field and LiDAR profiles was very high, with a mean R2 of 0.75 at plot-level and 0.86 at site-level for 55 plots and the corresponding 11 sites. Gridding had almost no impact on the correlation between LiDAR and field profiles (only marginally improvement), nor did the dataset-adjusted reflectance ratio. However, gridding and the dataset-adjusted reflectance ratio were found to improve the correlation between raw-waveform LiDAR and hemispherical photography LAIe estimates, yielding the highest correlations of 0.61 at plot-level and of 0.83 at site-level. This proved the validity of the approach and superiority of dataset-adjusted reflectance ratio of Armston et al. (2013) over a fixed ratio of 0.5 for LAIe estimation, as well as showed the adequacy of small-footprint LiDAR data for LAIe estimation in discontinuous canopy forests.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In the fields of Machine Vision and Photogrammetry, extracted straight lines from digital images can be used either as vector elements of a digital representation or as control entities that allow the determination of the camera interior and exterior orientation parameters. Applications related with image orientation require feature extraction with subpixel precision, to guarantee the reliability of the estimated parameters. This paper presents three approaches for straight line extraction with subpixel precision. The first approach considers the subpixel refinement based on the weighted average of subpixel positions calculated on the direction perpendicular to the segmented straight line. In the second approach, a parabolic function is adjusted to the grey level profile of neighboring pixels in a perpendicular direction to the segmented line, followed by an interpolation of this model to estimate subpixel coordinates of the line center. In the third approach, the subpixel refinement is performed with a parabolic surface adjustment to the grey level values of neighboring pixels around the segmented line. The intersection of this surface with a normal plane to the line direction generates a parabolic equation that allows estimating the subpixel coordinates of the point in the straight line, assuming that this is the critical point of this function. Three experiments with real images were made and the approach based on parabolic surface adjustment has presented better results.

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Considering the growing use of digital cameras in Photogrammetric projects, especially in aerial survey, this paper presents tests and analyses of bundle block adjustment with additional parameters, using different mathematical models, and blocks of images acquired by the SAAPI digital acquisition system. Three blocks of images were processed by the LPS (Leica Photogrammetry Suite) software, in which five groups of additional parameters (AP) can be used: Bauer, Jacobsen, Ebner, Brown and Lens distortion. These AP's models were employed in the bundle block adjustment, and the results were analyzed based on the accuracy of the checking points and on the changes in these additional parameters. The obtained results showed that the Lens Distortion model allowed the best results.

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In this paper a methodology for automatic extraction of road segments from images with different resolutions (low, middle and high resolution) is presented. It is based on a generalized concept of lines in digital images, by which lines can be described by the centerlines of two parallel edges. In the specific case of low resolution images, where roads are manifested as entities of 1 or 2 pixels wide, the proposed methodology combines an automatic image enhancement operation with the following strategies: automatic selection of the hysteresis thresholds and the Gaussian scale factor; line length thresholding; and polygonization. In medium and high resolution images roads manifest as narrow and elongated ribbons and, consequently, the extraction goal becomes the road centerlines. In this case, it is not necessary to apply the previous enhancement step used to enhance roads in low resolution images. The results obtained in the experimental evaluation satisfied all criteria established for the efficient extraction of road segments from different resolution images, providing satisfactory results in a completely automatic way.

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Image acquisition systems based on multi-head arrangement of digital frame cameras, such as the commercial systems DMC, UltraCam, besides others, are attractive alternatives enabling larger imaging area when compared to a single frame camera. Considering that in these systems, cameras are tightly attached to an external mount, it is assumed that relative position and orientation between cameras are stable during image acquisition and, consequently, these constraint can be included in the calibration step. This constraint is acceptable because estimates of the relative orientation (RO) parameters between cameras, from previously estimated exterior orientation parameters, present higher and significant deviations than the expected physical variations, due to error propagation. In order to solve this problem, this work presents an approach based on simultaneous calibration of two or more cameras using constraints that state that the relative rotation matrix and the distance between the cameras head are stable. Experiments with images acquired by an arrangement of two Hasselblad H2D cameras were accomplished, without and with the mentioned constraints. The experiments showed that the calibration process with RO constraints allows better results than the approach based on single camera calibration, provided that the estimation has included only images with good target distribution.

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In this work a method is proposed to allow the indirect orientation of images using photogrammetric control extracted through integration of data derived from Photogrammetry and Light Detection and Ranging (LiDAR) system. The photogrammetric control is obtained by using an inverse photogrammetric model, which allows the projection of image space straight lines onto the object space. This mathematical model is developed based on the intersection between the collinearity-based straight line and a DSM of region, derived from LiDAR data. The mathematical model used in the indirect orientation of the image is known as the model of equivalent t planes. This mathematical model is based on the equivalence between the vector normal to the projection plane in the image space and to the vector normal to the rotated projection plane in the object space. The goal of this work is to verify the quality, efficiency and potential of photogrammetric control straight lines obtained with proposed method applied to the indirect orientation of images. The quality of generated photogrammetric control was statistically available and the results showed that proposed method is promising and it has potential for the indirect orientation of images.

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In this work we propose a technique that uses uncontrolled small format aerial images, or SFAI, and stereohotogrammetry techniques to construct georeferenced mosaics. Images are obtained using a simple digital camera coupled with a radio controlled (RC) helicopter. Techniques for removing common distortions are applied and the relative orientation of the models are recovered using projective geometry. Ground truth points are used to get absolute orientation, plus a definition of scale and a coordinate system which relates image measures to the ground. The mosaic is read into a GIS system, providing useful information to different types of users, such as researchers, governmental agencies, employees, fishermen and tourism enterprises. Results are reported, illustrating the applicability of the system. The main contribution is the generation of georeferenced mosaics using SFAIs, which have not yet broadly explored in cartography projects. The proposed architecture presents a viable and much less expensive solution, when compared to systems using controlled pictures

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O objetivo deste estudo foi avaliar alterações posturais em pacientes com Doença Pulmonar Obstrutiva Crônica (DPOC), por meio do Software para Avaliação Postural (SAPO). Trinta indivíduos constituíram 2 grupos: 15 pacientes com DPOC e 15 idosos saudáveis (controle). Os grupos realizaram espirometria e foram fotografados para avaliação postural. As imagens obtidas foram digitalizadas e, posteriormente, avaliou-se dez alterações posturais com o SAPO [inclinação lateral da cabeça (ILC), desnivelamento dos ombros (DO), desnivelamento pélvico anterior (DPA), inclinação lateral do tronco (ILT), desnivelamento das escápulas (DE), desnivelamento pélvico posterior (DPP), protusão da cabeça (PC), protusão de ombro (PO), báscula anterior da pelve (BAP) e cifose torácica (CT)]. Essas alterações, obtidas no grupo controle, foram conferidas com o padrão de normalidade para adultos jovens, proposto em estudo prévio. Para a comparação das alterações posturais entre grupo controle e DPOC, foi utilizado o teste de Mann-Whitney em grupo controle, e em adultos jovens, o teste t de Student não pareado, ambos com nível de significância estatística de 5%. Dentre as dez alterações posturais, o grupo controle apresentou sete (ILC, DPA, DE, DPP, PC, PO, BAP) com valores angulares significativamente maiores em relação aos adultos jovens. Quando comparados a idosos saudáveis, indivíduos com DPOC apresentaram um aumento significante na angulação de BAP, DPP e CT. Pacientes com DPOC apresentam três alterações posturais que provavelmente estão relacionadas à doença.

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O sobrepeso e a obesidade (SO) têm atingido proporções epidêmicas, principalmente, em idade escolar, tornando-se um problema mundial de saúde. Muitas adaptações podem ocorrer na organização postural de crianças com SO, provocando, graves consequências. A avaliação postural pode colaborar para o entendimento destas alterações. O objetivo do presente estudo foi verificar alterações na postura dos membros inferiores de crianças com SO, através de metodologia específica. Vinte e dois indivíduos, sendo distribuídos de acordo com o sexo: 9 do feminino e 13 do masculino, com faixa etária entre 5-9 anos, participaram do estudo. Na avaliação postural, foram utilizados a fotogrametria e o software SAPo. Foram analisados os ângulos articulares dos membros inferiores e a projeção plantar do centro de gravidade. Foi utilizada estatística não-paramétrica descritiva, além dos testes de Kruskal-Wallis e de Mann-Whitney (p<0,05), para comparação entre os sexos. Ambos os sexos apresentaram anteroversão e leve rotação pélvica, à direita para o feminino e à esquerda para o masculino hiperextensão e valgismo de joelhos e valgismo tornozelos. O centro de gravidade apresentou 26,95% de anteriorização. Conclui-se que a avaliação postural nessa população foi congruente aos achados da literatura e a metodologia utilizada possibilitou quantificar os dados para futuras comparações.

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INTRODUÇÃO: A utilização da fotogrametria computadorizada em prol da goniometria, ou vice-versa, na prática clínica ainda necessita de fundamentações consistentes. OBJETIVOS: Os objetivos deste estudo foram: verificar a confiabilidade inter e intraexaminadores avaliadores na quantificação das medidas angulares obtidas a partir da fotogrametria computadorizada e a goniometria e determinar a confiabilidade paralela entre esses dois diferentes instrumentos de avaliação. MATERIAIS E MÉTODOS: 26 voluntários e 4 examinadores foram utilizados no estudo. A coleta foi realizada em 4 etapas sequenciais: demarcação dos pontos anatômicos de referência, mensuração e registro dos valores goniométricos, captação da imagem do voluntário com os marcadores fixados no corpo e avaliação do registro fotográfico no programa ImageJ. RESULTADOS: O goniômetro é um instrumento confiável na maioria das evidências, porém, a confiabilidade das medições depende principalmente da uniformização dos procedimentos. Considerações metodológicas relativas ao estabelecimento de confiabilidade e padronização da colocação dos marcadores se fazem necessárias, de modo a oferecer opções de avaliação ainda mais confiáveis para a prática clínica. CONCLUSÃO: Ambos os instrumentos são confiáveis e aceitáveis, porém, mais evidências ainda são necessárias para suportar a utilização desses instrumentos, pois poucos pesquisadores têm utilizado o mesmo desenho de estudo, e a comparação dos resultados entre eles muitas vezes são difíceis.

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