43 resultados para Computer Engineering|Remote sensing


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

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Matematica Aplicada e Computacional - FCT

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Pós-graduação em Geografia - IGCE

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Pós-graduação em Geociências e Meio Ambiente - IGCE

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

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This work presents a comparison of alkaline and cristaline terrains of an area inside a Poços de Caldas (MG) contry for appropriate urban expansion. The study area has 52km2 through rural and urban terrains with geological and geomorphological differences. At present Poços de Caldas has more than 130 thousand people and expansion government plans are from 1993 showing the necessity of studies of infrastructure to population and tourists. At last 40 years the city became a place with job offers in bauxite minning causing a population increase about 200%. At this way this work uses the Vedolvello (2000)´s method of terrains physiographic compartimentalization (UBCs) with integrated analysis (Land Systems) made by remote sensing products (air photos). After that field trips was performed to check unity limits by observation of rocks, relief and weathering soil profile. The main results are Engineering Geological Map and a classification table of Basic Units of Compartimentalization to presents the characteristics to uses and soil occupation.

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Construction of linear engineering as, roads, ducts and multiducts as roads, has a strong feature of the diversity of land on which they are deployed. This diversity involves properties geological, geomorphological and structural variety. The purpose of this work is to characterize the physical environment in relation to their ability to support the implementation of civil works linear. To achieve this, the use of orbital remote sensing, in this case, Landsat - TM. Interpretative techniques are applied to images in order to assess the forms of relief and drainage found that they can set properties and have built a favorable meaning or not to implement these works. The results and thematic maps presented in this study allow us to promote the geoenvironmental analysis for the planning phase sustainable linear civil constructions (roads and multiducts)

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Image segmentation is a process frequently used in several different areas including Cartography. Feature extraction is a very troublesome task, and successful results require more complex techniques and good quality data. The aims of this paper is to study Digital Image Processing techniques, with emphasis in Mathematical Morphology, to use Remote Sensing imagery, making image segmentation, using morphological operators, mainly the multi-scale morphological gradient operator. In the segmentation process, pre-processing operators of Mathematical Morphology were used, and the multi-scales gradient was implemented to create one of the images used as marker image. Orbital image of the Landsat satellite, sensor TM was used. The MATLAB software was used in the implementation of the routines. With the accomplishment of tests, the performance of the implemented operators was verified and carried through the analysis of the results. The extration of linear feature, using mathematical morphology techniques, can contribute in cartographic applications, as cartographic products updating. The comparison to the best result obtained was performed by means of the morphology with conventional techniques of features extraction. © Springer-Verlag 2004.

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Pós-graduação em Matematica Aplicada e Computacional - FCT