935 resultados para LiDAR elevation maps
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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LiDAR elevation data of Yukon Coast and Herschel Island in 2012, links to Shapefiles and TIFF images
LiDAR elevation data of Yukon Coast and Herschel Island in 2013, links to Shapefiles and TIFF images
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See Project Homepage for more details.
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A navegação de veículos autónomos em ambientes não estruturados continua a ser um problema em aberto. A complexidade do mundo real ainda é um desafio. A difícil caracterização do relevo irregular, dos objectos dinâmicos e pouco distintos(e a inexistência de referências de localização) tem sido alvo de estudo e do desenvolvimento de vários métodos que permitam de uma forma eficiente, e em tempo real, modelizar o espaço tridimensional. O trabalho realizado ao longo desta dissertação insere-se na estratégia do Laboratório de Sistemas Autónomos (LSA) na pesquisa e desenvolvimento de sistemas sensoriais que possibilitem o aumento da capacidade de percepção das plataformas robóticas. O desenvolvimento de um sistema de modelização tridimensional visa acrescentar aos projectos LINCE (Land INtelligent Cooperative Explorer) e TIGRE (Terrestrial Intelligent General proposed Robot Explorer) maior autonomia e capacidade de exploração e mapeamento. Apresentamos alguns sensores utilizados para a aquisição de modelos tridimensionais, bem como alguns dos métodos mais utilizados para o processo de mapeamento, e a sua aplicação em plataformas robóticas. Ao longo desta dissertação são apresentadas e validadas técnicas que permitem a obtenção de modelos tridimensionais. É abordado o problema de analisar a cor e geometria dos objectos, e da criação de modelos realistas que os representam. Desenvolvemos um sistema que nos permite a obtenção de dados volumétricos tridimensionais, a partir de múltiplas leituras de um Laser Range Finder bidimensional de médio alcance. Aos conjuntos de dados resultantes associamos numa nuvem de pontos coerente e referenciada. Foram desenvolvidas e implementadas técnicas de segmentação que permitem inspeccionar uma nuvem de pontos e classifica-la quanto às suas características geométricas, bem como ao tipo de estruturas que representem. São apresentadas algumas técnicas para a criação de Mapas de Elevação Digital, tendo sido desenvolvida um novo método que tira partido da segmentação efectuada
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Iowa’s land was mapped long before it was declared a state. Since Lewis and Clark published their journey across the North American west in 1814, many different uses for maps have been found. Today there are maps of Iowa’s roads, waterways, landscape features, geology, and land use. One of the more recent mapping efforts has involved using a technology called LiDAR. This technology creates a topographic map of Iowa’s elevation that is accurate to within eight inches, ten times higher resolution than in previous elevation maps.
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Surface defects are extremely important in mechanical characterization of several different materials. Therefore, the analysis of surface finishing is essential for a further simulation of surface mechanical properties in a customized project in materials science and technology. One of the methods commonly employed for such purpose is the statistical mapping of different sample surface regions using the depth from focus technique. The analysis is usually performed directly from the elevation maps which are obtained from the digital image processing. In this paper, the possibility of quantifying the surface heterogeneity of Silicon Carbide porous ceramics by elevation map histograms is presented. The advantage of this technique is that it allows the qualitative or quantitative verification of all surface image fields that cannot be done by using the Surface Plot plugin of image J™ platform commonly used in digital image processing. © 2012 Springer Science+Business Media, LLC.
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Draft Document. Presentation of maps produced from digital LIDAR elevation grids and contoured at 1 ft. levels illustration sea level rise for the Cutler Bay Township in Miami-Dade County.
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Twelve Mile Creek Lake is a 660 acre, Significant Publicly Owned Lake with a watershed of 14,820 acres for a ratio of 21:3. The watershed is predominately privately owned agricultural land that originates in Adair County and drains into the lake which serves as the primary source water for the City of Creston, Union County and the seven counties served by the Southern Iowa Rural Water Association. In recent years, frequent algae blooms and recurrent spikes in suspended solid concentrations have been inflating water treatment expenses for the Creston Municipal Utilities (CMU). Declining trends in water quality spurred CMU to enlist the Union Soil and Water Conservation District (SWCD) to assist in evaluating watershed conditions for potential upland improvements. Significant gully erosion issues that had been previously underestimated were discovered during this watershed assessment process. Newly acquired LiDAR elevation data readily revealed this concern which was previously obscured from view by the dense tree canopy. A Watershed Development and Planning Assistance Grant Application was approved and funded by the Iowa Department of Ag and Land Stewardship- Division of Soil Conservation. Throughout the planning process, project partners innovatively evaluated and prioritized a number of resource concerns throughout the watershed. The implementation plan presented will thwart these threats which left unaided will continue to diminish the overall health of the system, reduce the appeal of the lake to recreational users, and contribute to higher water treatment costs.
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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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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The stretch zone width (SZW) data for 15-5PH steel CTOD specimens fractured at -150 degrees C to + 23 degrees C temperature were measured based on focused images and 3D maps obtained by extended depth-of-field reconstruction from light microscopy (LM) image stacks. This LM-based method, with a larger lateral resolution, seems to be as effective for quantitative analysis of SZW as scanning electron microscopy (SEM) or confocal scanning laser microscopy (CSLM), permitting to clearly identify stretch zone boundaries. Despite the worst sharpness of focused images, a robust linear correlation was established to fracture toughness (KC) and SZW data for the 15-5PH steel tested specimens, measured at their center region. The method is an alternative to evaluate the boundaries of stretched zones, at a lower cost of implementation and training, since topographic data from elevation maps can be associated with reconstructed image, which summarizes the original contrast and brightness information. Finally, the extended depth-of-field method is presented here as a valuable tool for failure analysis, as a cheaper alternative to investigate rough surfaces or fracture, compared to scanning electron or confocal light microscopes. Microsc. Res. Tech. 75:11551158, 2012. (C) 2012 Wiley Periodicals, Inc.