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SAR Image Segmentation using Statistical Techniques

by Jharna Majumdar, Lekshmi.S
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 8
Year of Publication: 2011
Authors: Jharna Majumdar, Lekshmi.S
10.5120/2456-2841

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 },
issue_date = { April 2011 },
volume = { 20 },
number = { 8 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number8/2456-2841/ },
doi = { 10.5120/2456-2841 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:07:15.467392+05:30
%A Jharna Majumdar
%A Lekshmi.S
%T SAR Image Segmentation using Statistical Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 8
%P 12-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
  1. David Fernandes, Segmentation of SAR Images with Weibull Distribution, Int. Geoscience and Remote Sensing Symposium (IGARSS), Seatle, 1998, p.1456-1458.
  2. http://www.veridian.com
  3. Chaudhuri, B.B. and Sarkar, N., ‘Texture Segmentation using Fractal dimension’, IEEE Trans on PAMI , 17 : 72-77, 1995.
  4. Lian, S. and Cui, Y., ‘Fractal and Its Application in Description of Spatial Information’, Proceedings of the International Symposium on Digital Earth, Science Press, 1999.
  5. T. Kasparis, D. Charalampidis, M. Georgiopoulos, J. Rolland, Segmentation of textured images based on Fractals and image filtering, Pattern Recognition 34(2001)1963-1973.
Index Terms

Computer Science
Information Sciences

Keywords

Segmentation Weibull

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