Predição de sombras de edifícios sobre vias urbanas com base em um modelo digital de elevações e dados de imagens aéreas de alta-resolução

Pós-graduação em Ciências Cartográficas - FCT

Luz e sombra, mostrar e esconder: os efeitos de sentido e as estratégias da imagem fotográfica em magnum in motion

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Detecção e restauração de áreas sombreadas em imagens digitais de alta resolução espacial

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Morfologia matemática aplicada à detecção de sombras e nuvens em imagens de alta resolução

The spatial resolution improvement of orbital sensors has broadened considerably the applicability of their images in solving urban areas problems. But as the spatial resolution improves, the shadows become even a more serious problem especially when detailed information (under the shadows) is required. Besides those shadows caused by buildings and houses, clouds projected shadows are likely to occur. In this case there is information occlusion by the cloud in association with low illumination and contrast areas caused by the cloud shadow on the ground. Thus, it's important to use efficient methods to detect shadows and clouds areas in digital images taking in count that these areas care for especial processing. This paper proposes the application of Mathematical Morphology (MM) in shadow and clouds detection. Two parts of a panchromatic QuickBird image of Cuiab-MT urban area were used. The proposed method takes advantage of the fact that shadows (low intensity - dark areas) and clouds (high intensity - bright areas) represent the bottom and top, respectively, of the image as it is thought to be a topographic surface. This characteristic allowed MM area opening and closing operations to be applied to reduce or eliminate the bottom and top of the topographic surface.

Predição de sombras de edifícios sobre vias urbanas com base em modelos digitais de elevações e dados de imagens aéreas de alta resolução

This research presents a methodology for prediction of building shadows cast on urban roads existing on high-resolution aerial imagery. Shadow elements can be used in the modeling of contextual information, whose use has become more and more common in image analysis complex processes. The proposed methodology consists in three sequential steps. First, the building roof contours are manually extracted from an intensity image generated by the transformation of a digital elevation model (DEM) obtained from airborne laser scanning data. In similarly, the roadside contours are extracted, now from the radiometric information of the laser scanning data. Second, the roof contour polygons are projected onto the adjacent roads by using the parallel projection straight lines, whose directions are computed from the solar ephemeris, which depends on the aerial image acquisition time. Finally, parts of shadow polygons that are free from building perspective obstructions are determined, given rise to new shadow polygons. The results obtained in the experimental evaluation of the methodology showed that the method works properly, since it allowed the prediction of shadow in high-resolution imagery with high accuracy and reliability.

Predição da configuração de sombras de árvores em pastagens para bovinos

São propostas equações para a determinação da orientação, comprimento e área da sombra projetada por árvores destinadas ao plantio em pastagens para bovinos, considerando o local, a época do ano e a hora do dia. As equações abrangem árvores com os seguintes formatos de copa: esférica, lentiforme, cilíndrica, elipsóide, cônica e cônica invertida. Um exemplo é apresentado, discutindo-se a aplicação no sombreamento de pastagens.

Raízes e sombras: luta e resistência na formação da identidade quilombola

Pós-graduação em Serviço Social - FCHS

Luzes e sombras: Paulo Emilio Salles Gomes e a cultura cinematográfica (1954-59)

Pós-graduação em História - FCLAS

Uso de sombras na correção do efeito vinhete

When registering spectral radiance from surface targets, digital numbers recorded by the imagery sensor may vary. Such variation causes imperfections on the images coming from aerial surveys. Variation in the image brightness related to the distance from the center of the image is known as the vignetting effect. Correcting this effect aims at achieving an homogeneous image brightness. The purpose of this paper is to present a specific methodology to determine a model in order to minimize this vignette effect based on a model fit by Least Squares Method (LSM), using digital numbers (DN) from shadowed regions. The main hypothesis is that the recorded DN of shadow pixels should be suitable to model the vignetting effect. Considering that the vignetting effect could be modeled as a trend of spatial image variation, a trend surface analysis of a sample of pixels from shadowed regions was carried out. Two approaches were adopted to represent the shadow regions of an image. The first one takes into account the components R, G, B of the aerial image within the visible spectral band, and the second one considers the component I of the HSI image. In order to evaluate the methodology, a study case with a color aerial image was carried out. The findings showed that the best results were obtained by applying the model in the RGB components, which allows to conclude that the vignetting effect can be modeled based on trend surfaces fit on shadow regions DN.

As sombras das luzes e os pecados da escolástica

When we compare the policy actions taken in the reigns of Dom João V in the first half of the eighteenth century and Dom José I (assisted by Marquês de Pombal) in the third quarter of the same century, we can observe the transition from scholastic, first reign vision gradually paths to an economic -scientific bias, reflecting a position toward the lights. Three narratives were chosen demonstrate this movement by the relations established between them: O Caramuru, the conservative position, and O Uraguai and O Desertor, takes position in favor of Lights.

A maldição de Eva: vozes femininas nos romances A dança dos cabelos, Sombras de julho e O vestido, de Carlos Herculano Lopes

Pós-graduação em Estudos Literários - FCLAR

Flora de comunidades de macroalgas lóticas de fragmentos florestais remanescentes da região noroeste do Estado de São Paulo, Brasil

Foram amostrados 17 riachos, em 12 fragmentos durante a estação seca (junho a agosto de 2007 e de 2008). Foram identificadas 16 espécies de macroalgas, pertencentes a 14 gêneros. Cyanophyta e Chlorophyta foram os grupos mais representativos (44 e 38%, respectivamente), seguidos por Rhodophyta (12%) e Heterokontophyta (6%). O número global de espécies foi baixo, fato atribuído à predominância de substrato areno-argiloso (65%) e de trechos sombreados (53%). A maioria das espécies (69%) ocorreu exclusivamente em um único riacho, padrão frequentemente observado para macroalgas lóticas. Vaucheria pseudogeminata foi reportada pela primeira vez para o Brasil e Trichocoleus sociatus para a região noroeste do Estado de São Paulo. Comparando a flora de macroalgas encontrada com aquelas de outras regiões/biomas do Estado de São Paulo, notou-se maior semelhança com Floresta Tropical (56% espécies em comum), conforme esperado, por ser o bioma mais próximo e composto também por Floresta Estacional Semidecidual.

Seed germination and seedling emergence of the invasive exotic species, Clausena excavata

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