Paper Info
Title
A semi-automatic method for burn scar delineation using a modified Chan-Vese model
Abstract
We propose a novel semi-automatic method for burn scar delineation from Landsat imagery using a modified Chan-Vese model. Burn scars appear reddish-brown in band 742 false-colour composite of Landsat 7 images. This property is used in our algorithm to delineate burn scars. Firstly, we visually choose sample pixels from the burn scar. From these pixels, a discrimination function for burn scars is determined by the principal component analysis and interval estimation. Then we define a modified Chan-Vese functional. The minimizer of the functional corresponds to the boundary of the burn scar. In order to minimize this functional, the corresponding contour evolution equation is given. We use the discrimination function to locate an initial contour that is near the boundary of the burn scar. The evolving curve then efficiently converges to the desired boundary. A Landsat image over Russia is used to examine our algorithm. The result shows that the algorithm is effective.
Year
DOI
Venue
2009
10.1016/j.cageo.2008.08.002
Computers & Geosciences
Keywords
DocType
Volume
initial contour,discrimination function,false-colour composite,landsat imagery,semi-automatic method,corresponding contour evolution equation,functional corresponds,scar delineation,landsat image,modified chan-vese model,interval estimation,algorithms,image analysis,remote sensing,level set,principal component analysis,discriminant function
Journal
35
Issue
ISSN
Citations 
2
Computers and Geosciences
2
PageRank 
References 
Authors
0.38
6
3
Name
Order
Citations
PageRank
Yaxin Peng17316.82
Ling Pi2332.66
Chaomin Shen316112.57