Name
Abstract | ||
|---|---|---|
This paper addresses the issue of cartographic database creation or updating using high resolution SAR and optical images. It proposes a processing chain to create or update road databases in urban environment. The approach is composed of two steps. First, if a database is available, the presence of each database object is checked in the images. Then, we verify if road hypotheses extracted from images should be included in the database. These two steps are conducted by extracting relevant features from the 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 |
|---|---|---|
2010 | 10.1109/IGARSS.2010.5653251 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
image fusion,image resolution,inference mechanisms,optical images,radar imaging,synthetic aperture radar,Dempster-Shafer evidence theory,SAR image fusion,cartographic database creation,high resolution SAR,high resolution optical image fusion,object removal,optical images,road database updating,urban environment,Feature extraction,Image analysis,Image processing,Object detection,Remote sensing | Data mining,Image fusion,Computer science,Synthetic aperture radar,Remote sensing,Image processing,Artificial intelligence,Object detection,Computer vision,Feature extraction,Sensor fusion,Database design,Image resolution,Database | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4244-9564-1 | 978-1-4244-9564-1 | 1 |
PageRank | References | Authors |
0.35 | 25 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Poulain, V. | 1 | 1 | 0.35 |
| Inglada, J. | 2 | 4 | 1.83 |
| Spigai, M. | 3 | 13 | 1.36 |
| Jean-Yves Tourneret | 4 | 835 | 64.32 |