EXTRACTION OF ROOF LINES FROM HIGH-RESOLUTION IMAGES BY A GROUPING METHOD

Author(s):Show less -

Dal Poz, A. P. ; Fernandes, V. J. M. ; Halounova, L ; Schindler, K ; Limpouch, A ; Pajdla, T ; Safar, V ; Mayer, H ; Elberink, SO ; Mallet, C ; Rottensteiner, F ; Bredif, M ; Skaloud, J ; Stilla, U

• Document type: Journal article
• Source: XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III; v. 41, n. B3, p. 5-pg., 2016-01-01.

Abstract

This paper proposes a method for extracting groups of straight lines that represent roof boundaries and roof ridgelines from high-resolution aerial images using corresponding Airborne Laser Scanner (ALS) roof polyhedrons as initial approximations. The proposed method is based on two main steps. First, straight lines that are candidates to represent roof ridgelines and roof boundaries of a building are extracted from the aerial image. Second, a group of straight lines that represent roof boundaries and roof ridgelines of a selected building is obtained through the optimization of a Markov Random Field (MRF)-based energy function using the genetic algorithm optimization method. The formulation of this energy function considers several attributes, such as the proximity of the extracted straight lines to the corresponding projected ALS-derived roof polyhedron and the rectangularity (extracted straight lines that intersect at nearly 90 degrees). Experimental results are presented and discussed in this paper. (AU)

• FAPESP's process: 13/13138-0 - Automated building boundary extraction using very high-resolution aerial images and laser scanning data
• Grantee: Aluir Porfírio Dal Poz
• Support Opportunities: Regular Research Grants
• FAPESP's process: 12/22332-2 - Extraction of building roof countors through the integration of high-resolution aerial images and LiDAR data, using Markov random field
• Grantee: Vanessa Jordão Marcato Fernandes
• Support Opportunities: Scholarships in Brazil - Doctorate