DocumentCode :
2779919
Title :
Image segmentation and image matching for 3D terrain reconstruction
Author :
Lu, Yihui ; Kubik, Kurt ; Bennamoun, Mohammed
Author_Institution :
Space Centre for Satellite Navigation, Queensland Univ. of Technol., Brisbane, Qld., Australia
Volume :
2
fYear :
1998
fDate :
16-20 Aug 1998
Firstpage :
1535
Abstract :
A 3D terrain reconstruction method using compound techniques is proposed. Normal matching results only supply a DSM (digital surface model). This means that the matching results may be on the top of objects such as houses or trees. This kind of matching results could not supply an accurate DEM (digital elevation model). The proposed method is a more efficient method for determining elevations from overlapping digital aerial images and satellite images. It combines image analysis and image matching methods and supplies a more accurate DEM
Keywords :
image matching; image segmentation; stereo image processing; 3D terrain reconstruction; compound techniques; digital elevation model; digital surface model; houses; image analysis; image matching; image segmentation; overlapping digital aerial images; satellite images; trees; Australia; Electrical capacitance tomography; Image analysis; Image matching; Image reconstruction; Image segmentation; Read only memory; Satellite navigation systems; Space technology; Stereo vision;
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.1998.712000
Filename :
712000
Link To Document :
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