Extracting buildings from aerial topographic maps

Author

Fayek, Reda E. ; Wong, Andrew K.C.

Author_Institution

Syst. Design Eng., Waterloo Univ., Ont., Canada

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

401

Abstract

The recovery of 2D information from intensity images, and that of 3D information from range images are the major issues in 3D objects recognition from sensory data. The analysis and interpretation of remote sensing aerial images have important applications. This paper presents an efficient method for the analysis and modeling of such scenes based on range sensory data. Unlike methods using 2D intensity images, we exploit the rich 3D data. We extract symbolic information from the 3D triangular mesh models. These are used to recognize buildings using symbolic reasoning and generic object models

Keywords

building; feature extraction; image segmentation; inference mechanisms; mesh generation; object recognition; remote sensing; 2D information recovery; 2D intensity images; 3D data; 3D information; 3D object recognition; 3D triangular mesh models; aerial topographic maps; generic object models; image regions; intensity images; mesh generation; range images; remote sensing aerial images; sensory data; symbolic information extraction; symbolic reasoning; Buildings; Data engineering; Data mining; Design engineering; Layout; Object recognition; Surface cleaning; Surface topography; System analysis and design; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560849

Filename

560849