Urban building detection from optical and insar features exploiting context

authored by

J. D. Wegner, A. O. Ok, A. Thiele, F. Rottensteiner, U. Soergel

Abstract

We investigate the potential of combined features of aerial images and high-resolution interferometric SAR (InSAR) data for building detection in urban areas. It is shown that completeness and correctness may be increased if we integrate both InSAR double-bounce lines and 3D lines of stereo data in addition to building hints of a single optical orthophoto. In order to exploit context information, which is crucial for object detection in urban areas, we use a Conditional Random Field approach. It proves to be a valuable method for context-based building detection with multi-sensor features.

Organisation(s)

Institute of Photogrammetry and GeoInformation (IPI)

External Organisation(s)

Orta Dogu Technical University
Fraunhofer-Institute of Optronics, System Technologies and Image Exploitation (IOSB)

Type

Conference article

Journal

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volume

38

Pages

239-244

No. of pages

6

ISSN

1682-1750

Publication date

2010

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Information Systems, Geography, Planning and Development

Electronic version(s)

https://doi.org/10.15488/1139 (Access: Unknown)