International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 20 - Issue 8 |
Published: April 2011 |
Authors: Jharna Majumdar, Lekshmi.S |
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Jharna Majumdar, Lekshmi.S . SAR Image Segmentation using Statistical Techniques. International Journal of Computer Applications. 20, 8 (April 2011), 12-17. DOI=10.5120/2456-2841
@article{ 10.5120/2456-2841, author = { Jharna Majumdar,Lekshmi.S }, title = { SAR Image Segmentation using Statistical Techniques }, journal = { International Journal of Computer Applications }, year = { 2011 }, volume = { 20 }, number = { 8 }, pages = { 12-17 }, doi = { 10.5120/2456-2841 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2011 %A Jharna Majumdar %A Lekshmi.S %T SAR Image Segmentation using Statistical Techniques%T %J International Journal of Computer Applications %V 20 %N 8 %P 12-17 %R 10.5120/2456-2841 %I Foundation of Computer Science (FCS), NY, USA
Segmentation is performed in recognition applications as a primary step towards extraction of interesting regions of an image. In this paper, the characteristic effects of Weibull and Fractal parameters in the segmentation of Synthetic Aperture Radar (SAR) and Optical images acquired from satellite platform is studied. The algorithms are tested for different window sizes and different number of classes to bring out the effect of these parameters in the segmentation process.