Title
Fusion of high resolution optical and SAR images with vector data bases for change detection
Abstract
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
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 Poulain1222.40
Jordi Inglada2826.90
Spigai, M.3131.36
Jean-Yves Tourneret483564.32