Uso da dimensão fractal de imagens digitais na determinação da rugosidade superficial do solo

• Ano de defesa: 2011
• Autor(a) principal: Souza, Sergio Pereira de
• Orientador(a): Vieira, Luciano Baião
• Banca de defesa: Santos, Fábio Lúcio , Ruas, Renato Adriane Alves , Salvador, Nilson
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Viçosa
• Programa de Pós-Graduação: Doutorado em Engenharia Agrícola
• Departamento: Construções rurais e ambiência; Energia na agricultura; Mecanização agrícola; Processamento de produ
• País: BR
• Palavras-chave em Português: Índice de rugosidade; Solos
• Palavras-chave em Inglês: Roughness index; Soils
• Área do conhecimento CNPq: CNPQ::CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA
• Link de acesso: http://locus.ufv.br/handle/123456789/694

To compare two methods for determining the surface roughness of the soil, which provides the traditional roughness index that employs a profiler with the new method proposed here provides that the fractal dimension, we used an area of 50 m X 60 m, belonging to Universidade Federal de Viçosa, parallel to the runway of the city of Viçosa, MG. It was established five treatments, each representing a distinct form of tillage that together formed a block, five blocks were formed resulting in a twenty-five plots experimental. Each plot had dimensions of 12 m X 4 m from which we obtained both the digital images as the profilometer readings. A metal structure of 1 m2 was used to delimit the usable area inside the experimental unit. Determination of Fractal Dimension was done in two ways: employment with Fractal Dimension and Fractal Dimension of photogrammetry processing bidimensional images directly. In the first form submitted to the digital images to photogrammetric techniques for extracting the height of lumps or quotas Z. On the occasion of gathering data, we obtained nine values of quotas called control points, measured with a tape and instruction needed for photogrammetric software used: Leica Photogrammetry Suite or LPS. We privileged readings more central in the images, which tend to register less optical distortions and errors. At nine control points were joined by six other software obtained through the use of LPS, these fifteen values under processing in Excel software, provided a graphic line taken as continuous and representative of the soil profile. The second form of Fractal Dimension used the same digital images of prepared soil before processing them in Microsoft Office Picture Manager application to obtain a useful central rectangular area bounded by the nine control points visually identifiable in the images. In both conditions the final graphics products underwent an elaborate routine in MatLab R2007a which provided values of Fractal Dimension. The profilometer was leveled and positioned on the metal structure of 1 m2 in the five areas of soil mobilized and whose height readings were entered into a mathematical model providing Roughness Index. The traditional method that provides the level of roughness could not distinguish any of the five treatments, which also happened with the Fractal Dimension method employed photogrammetry. The method of fractal dimension of two-dimensional images was the only one who could distinguish between two treatments, being the most effective and therefore recommended as a substitute for the traditional method. Also considered was less costly than the traditional method and the method of Fractal Dimension with use of photogrammetry, which may in future be assessed to cover larger areas.