Use of explicit knowledge and GIS data for the 3D evaluation of remote sensing images

Author

Growe, Stefan ; Tonjes, Ralf

Author_Institution

Inst. fur Theor. Nachrichtentech. und Inf., Hannover Univ., Germany

Volume

2

fYear

1998

fDate

16-20 Aug 1998

Firstpage

1413

Abstract

The evaluation of 3D scenes observed from different sensors requires the co-registration of sensor images and the reconstruction of the 3D geometry. To solve both tasks the presented system exploits prior knowledge, represented explicitly by semantic nets, and uses a digital landscape model of a geographic information system (GIS) as a hint for the object location. This is shown for the detection of control points for image registration and the extraction of objects (roads, buildings) for 3D reconstruction. For real time visualization the 3D geometry is approximated by a polygon mesh with overlaid photo texture

Keywords

data visualisation; feature extraction; geographic information systems; image reconstruction; image registration; image texture; knowledge based systems; remote sensing; stereo image processing; 3D geometry; digital landscape model; feature extraction; geographic information system; image interpretation; image reconstruction; image registration; image texture; knowledge based systems; polygon mesh; real time visualization; remote sensing images; semantic nets; Computational geometry; Data mining; Geographic Information Systems; Image reconstruction; Image registration; Image sensors; Layout; Object detection; Roads; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on

Conference_Location

Brisbane, Qld.

ISSN

1051-4651

Print_ISBN

0-8186-8512-3

Type

conf

DOI

10.1109/ICPR.1998.711967

Filename

711967