Revista de Ingeniería

revinge | eISSN 2011-0049 | ISSN 0121-4993

The Generation of Automatic Mapping for Buildings, Using High Spatial Resolution Digital Vertical Aerial Photography and LiDAR Point Clouds

No. 42 (2015-01-01)
  • William Barragán Zaque
    (1) MSc. Photogrammetrie und Geoinformatik, Especialista en Sistemas de Información Geográfica. Profesor Asociado, Universidad Distrital Francisco José de Caldas. Bogotá D.C., Colombia. wbarraganz@udistrital.edu.co
  • Alexander Martínez Rivillas
    (2) PhD. (c) en Geografía, Instituto Geográfico Agustín Codazzi-Universidad Pedagógica y Tecnológica de Colombia. Profesor Asistente, Universidad del Tolima. Ibagué, Colombia. alexandermartinezrivillas@gmail.com
  • Pablo Emilio Garzón Carreño
    (3) Especialista en Ingeniería. Decano de la Facultad Tecnológica, Universidad Distrital Francisco José de Caldas. Bogotá. D.C., Colombia. pegarzonc@udistrital.edu.co
https://doi.org/10.16924/riua.v0i42.753

Abstract

The aim of this paper is to generate photogrammetric products and to automatically map buildings in the area of interest in vector format. The research was conducted Bogotá using high resolution digital vertical aerial photographs and point clouds obtained using LIDAR technology. Image segmentation was also used, alongside radiometric and geometric digital processes. The process took into account aspects including building height, segmentation algorithms, and spectral band combination. The results had an effectiveness of 97.2 % validated through ground-truthing.

Keywords: Mapping, automatic extraction, photogrammetry, aerial photography, image segmentation