Paper Info
Title
Decision Fusion for Reliable Flood Mapping Using Remote Sensing Images
Abstract
Flood extent mapping is a basic tool for flood damage assessment, which can be done by digital classification techniques using satellite imageries, including the data recorded by radar and optical sensors. However, converting the data into the information we need is not a straightforward task. One of the great challenges involved in the data interpretation is to separate the permanent water bodies and flooding regions, including both the fully inundated areas and the wet areas where trees and houses are partly covered with water. This paper adopts the decision fusion technique to combine the mapping results from radar data and the NDVI data derived from optical data. An improved capacity in terms of identifying the permanent or semi-permanent water bodies from flood inundated areas has been achieved. Computer software tools Multispec and Matlab were used.
Year
DOI
Venue
2008
10.1109/DICTA.2008.65
DICTA
Keywords
Field
DocType
disasters,floods,radar imaging,terrain mapping,decision fusion,digital classification techniques,flood damage assessment,radar data,reliable flood mapping,remote sensing images,satellite imageries,classification,decision fusion,flood extent mapping,remote sensing
Radar,Computer vision,Satellite,Radar imaging,MATLAB,Computer science,Remote sensing,Lidar,Normalized Difference Vegetation Index,Artificial intelligence,Flooding (psychology),Flood myth
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Chandrama Dey110.73
Xiuping Jia21424126.54
Donald Fraser3788.29