| Grant number: | 13/21647-2 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | May 01, 2014 |
| End date: | April 30, 2016 |
| Field of knowledge: | Physical Sciences and Mathematics - Geosciences |
| Principal Investigator: | Aluir Porfírio Dal Poz |
| Grantee: | Henrique Cândido de Oliveira |
| Host Institution: | Faculdade de Ciências e Tecnologia (FCT). Universidade Estadual Paulista (UNESP). Campus de Presidente Prudente. Presidente Prudente , SP, Brazil |
| Associated scholarship(s): | 14/15332-1 - THE USE OF LASER DATA FOR OCCLUSION DETERMINATION USING HEIGHT GRADIENT FROM A POLYHEDRAL SURFACE, FOR TRUE ORTHOPHOTO GENERATION., BE.EP.DR |
Abstract The usage of spatial information is found from a simple pedestrian walk using his mobile phone up to surveying locations on big engineering projects. Cartographic products (maps) need a high level of accuracy and precision, depending on the application. There are various ways to create a map and one is by the science of extracting qualitative and quantitative information from photographs, most of the time from aerial photos (photogrammetry). One of the products created by the photogrammetry is the orthophoto. This product has a single scale allowing the use of its content as if it was a map, with no distortions due to relief displacement. However, in urban areas where there are a great many high buildings, aerial photographs may have some surface portions occluded by the buildings (occlusions areas), depending on the point of view from which they are taken. Due this problem, the need for a new product arose - the true-orthophoto. This product includes all features above the surface, such as buildings and bridges, in orthogonal projection, without hiding other information such as streets, property boundaries, parks, etc. The main aim of this project is to propose a new method for occlusion detection using LASER data, together with high resolution aerial images. This new approach uses height gradient calculated from a polyhedric surface (TIN obtained from LASER data) for the identification of occlusion areas instead of interpolated regular grids or digital building model (DBM), as can be found in the literature. Surface representation using a polyhedric shape avoids interpolation problems and does not need a DBM related to all the buildings in the image. | |
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