Title | ||
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Fusion of high resolution optical and SAR images with vector data bases for change detection |
Abstract | ||
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This paper addresses the issue of cartographic database creation or update using high resolution SAR and optical images. In cartographic applications, objects of interest are mainly buildings and roads. This paper proposes a processing chain to update building databases. The approach is composed of two steps. First, the presence of each database object is checked in the images. Then, we verify if objects coming from an image segmentation should be added in the database. To do those two steps, features are extracted from images in the neighborhood of the considered object. The object removal/inclusion in the database is based on a score obtained by the fusion of features in the framework of Dempster Shafer evidence theory. |
Year | DOI | Venue |
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2009 | 10.1109/IGARSS.2009.5417537 | Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009 |
Keywords | DocType | Volume |
feature extraction,geophysical image processing,image fusion,optical images,sensor fusion,synthetic aperture radar,visual databases,Dempster Shafer evidence,SAR images,buildings,cartographic database creation,change detection,data fusion,database object,feature extraction,high resolution optical images,image analysis,image databases,image fusion,image segmentation,roads,vector databases,Change detection,Data fusion,Feature extraction,Image analysis,Image databases | Conference | 4 |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4244-3395-7 | 12 |
PageRank | References | Authors |
1.01 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vincent Poulain | 1 | 22 | 2.40 |
Jordi Inglada | 2 | 82 | 6.90 |
Spigai, M. | 3 | 13 | 1.36 |
Jean-Yves Tourneret | 4 | 835 | 64.32 |