Paper Info
Title
Information fusion approach for the appraisal of hazard worsening factors using remote sensing data
Abstract
An information fusion approach based on the fuzzy subset theory is proposed in this article for the appraisal of hazard worsening factors. This approach combines attributes of vulnerability degree coming from remote sensing data. After defining the hazard, menace, vulnerability concepts, an original method is proposed for the extraction of a "distance" vulnerability degree attribute, based on the fuzzy mathematical morphology. Then, a vulnerability map is produced by combining the following attributes: the distance (to the river, to a drain, or to the coast), the altitude and an index of urban area/non-urban area. The proposed approach is illustrated in the city of Douala and results are compared to previous floodings maps.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1369813
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Keywords
Field
DocType
floods,fuzzy systems,hazards,hydrological techniques,remote sensing,sensor fusion,Douala,distance vulnerability degree attribute,floodings maps,fuzzy mathematical morphology,fuzzy subset theory,hazard worsening factors,information fusion approach,nonurban area,remote sensing data,urban area,vulnerability map
Computer science,Remote sensing,Fuzzy mathematical morphology,Sensor fusion,Fuzzy subset,Fuzzy control system,Urban area,Valuation (finance),Information fusion,Vulnerability
Conference
Volume
ISSN
ISBN
4
2153-6996
0-7803-8742-2
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Vincent De Paul Onana182.34
Emmanuel Trouvé211322.53
Gilles Mauris336733.66
Jean-Paul Rudant49012.90