Urban building detection from optical and insar features exploiting context

verfasst von

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.

Organisationseinheit(en)

Institut für Photogrammetrie und Geoinformation

Externe Organisation(en)

Orta Dogu Technical University
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung (IOSB)

Typ

Konferenzaufsatz in Fachzeitschrift

Journal

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

Band

38

Seiten

239-244

Anzahl der Seiten

6

ISSN

1682-1750

Publikationsdatum

2010

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Information systems, Geografie, Planung und Entwicklung

Elektronische Version(en)

https://doi.org/10.15488/1139 (Zugang: Unbekannt)