Desenvolvimento do sistema computacional CARTOMORPH para processamento de imagens de sensoriamento remoto

• Ano de defesa: 2015
• Autor(a) principal: Cardim, Guilherme Pina [UNESP]
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Cartografia; Processamento de imagens - Tecnicas digitais; Morfologia matemática; Sensoriamento remoto; Sistemas de informação geografica; Cartography
• Link de acesso: http://hdl.handle.net/11449/124063; http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/12-06-2015/000835413.pdf

Nowadays, the increasing importance of the Geographic Information Systems and the necessity of acquisition and update of spatial data motivate researches about cartographic features extraction. In the urban planning field, the spatial data are used to planning and decision-making. Therefore, it is essential that these data are updated and accurate. Thus, to detect cartographic features using remote sensing images is a significant possibility, reason that these studies are of fundamental importance. Nevertheless, the content of the images involved complicates this procedure and makes it a challenging topic. Moreover, the software used for research about cartographic features extraction methodologies are, usually, of private domain and consequently have the functionalities blocked, disallowing changings and improvement of the algorithms. This sense, this work consists of a software development, named as CARTOMORPH, to remote sensing image processing. The software purpose is to allow the use of the functions implemented, as well as allow changings, adaptions and improving of the functions, since it is of public domain. So techniques of digital image processing, focused on the mathematical morphology theory, was implemented to enable the development of cartographic features extraction routines. The CARTOMORPH development is of fundamental importance, since it is focused on cartographic studies to detect interest features from remote sensing images...