Geometric refinement of laser-derived building roof contours and ridges using aerial image

Author(s)

Vanessa Jordão Marcato ; Aluir Porfírio Dal Poz

• Document type: Journal article
• Source: Bol. Ciênc. Geod.; v. 20, n. 3, p. 647-668, 2014-09-00.

Abstract

In this paper, a method is proposed to refine the LASER 3D roofs geometrically by using a high-resolution aerial image and Markov Random Field (MRF) models. In order to do so, a MRF description for grouping straight lines is developed, assuming that each projected side contour and ridge is topologically correct and that it is only necessary to improve its accuracy. Although the combination of laser data with data from image is most justified for refining roof contour, the structure of ridges can give greater robustness in the topological description of the roof structure. The MRF model is formulated based on relationships (length, proximity, and orientation) between the straight lines extracted from the image and projected polygon and also on retangularity and corner injunctions. The energy function associated with MRF is minimized by the genetic algorithm optimization method, resulting in the grouping of straight lines for each roof object. Finally, each grouping of straight lines is topologically reconstructed based on the topology of the corresponding LASER scanning polygon projected onto the image-space. The results obtained were satisfactory. This method was able to provide polygons roof refined buildings in which most of its contour sides and ridges were geometrically improved. (AU)

• FAPESP's process: 11/03899-9 - Reconstruction of building roof contours and ridges using high-resolution aerial images and polyhedra representing buildings extracted from laser data
• Grantee: Vanessa Jordão Marcato Fernandes
• Support Opportunities: Scholarships in Brazil - Master