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DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions

DSpace at IIT Bombay

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Title DEM and SAR image based flood feature extraction techniques to map the deep and shallow flood inundated regions of known as well as remote disaster regions
 
Creator MANAVALAN
RAO
 
Subject SAR
DEM
image clustering
deep flooded regions
shallow inundated region
SYNTHETIC-APERTURE RADAR
CLASSIFICATION
DELINEATION
TEXTURE
 
Description It is viable to differentiate the deep and shallow flood inundated regions through a new flood feature extraction techniques named as 'Digital Elevation Model (DEM) and Synthetic Aperture Radar (SAR) image based flood feature extraction model'. The proposed model has been built mainly on the top of DEM of the disaster region without adopting standard multi-layer GIS techniques. To meet the time related factors of flood early warning system the image clustering operations has been automated at three different levels which bifurcates the input datasets and extracts the much required end results such as deep flooded regions, shallow flood inundated regions and non-flooded regions. The model has been tested with SAR flood images of known geographical region as well as remote geographical region. The proposed model can be automated against the input SAR sensor image and corresponding DEM of the respective SAR scene of any part of the world.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2014-12-28T15:06:55Z
2014-12-28T15:06:55Z
2014
 
Type Article
 
Identifier GEOCARTO INTERNATIONAL, 29(7)745-757
1010-6049
1752-0762
http://dx.doi.org/10.1080/10106049.2013.838310
http://dspace.library.iitb.ac.in/jspui/handle/100/16830
 
Language English