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Applying Image Fusion and Fuzzy Clustering Algorithms to detect Changes in Synthetic Aperture Radar Images

by Deepthi Maryala, J.krishna Chaithanya, T. Ramashri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 12
Year of Publication: 2014
Authors: Deepthi Maryala, J.krishna Chaithanya, T. Ramashri
10.5120/17871-8813

Deepthi Maryala, J.krishna Chaithanya, T. Ramashri . Applying Image Fusion and Fuzzy Clustering Algorithms to detect Changes in Synthetic Aperture Radar Images. International Journal of Computer Applications. 102, 12 ( September 2014), 38-43. DOI=10.5120/17871-8813

@article{ 10.5120/17871-8813,
author = { Deepthi Maryala, J.krishna Chaithanya, T. Ramashri },
title = { Applying Image Fusion and Fuzzy Clustering Algorithms to detect Changes in Synthetic Aperture Radar Images },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 12 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number12/17871-8813/ },
doi = { 10.5120/17871-8813 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:58.513787+05:30
%A Deepthi Maryala
%A J.krishna Chaithanya
%A T. Ramashri
%T Applying Image Fusion and Fuzzy Clustering Algorithms to detect Changes in Synthetic Aperture Radar Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 12
%P 38-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image change detection is a process in which two or more images of same scene that are captured at two different time instants are taken and changes are detected. Out of many categories of images, detection of changes in Synthetic Aperture Radar (SAR) images is a critical task because of the speckle noise present in these images. In this paper changes are detected in SAR images based on an image fusion strategy and fuzzy clustering algorithms. Image fusion is used to generate a difference image from the information obtained from mean ration and log ratio operator and Stationary Wavelet Transform (SWT) is used to decompose the sub bands and the two clustering algorithms namely fuzzy local information C means clustering (FLICM) algorithm and reformulated fuzzy local-information C-means clustering algorithm (RFLICM) are considered which are applied on the fused image and the changed and unchanged areas are differentiated by forming clusters of similar and dissimilar elements. Experiments are carried out on the different images by applying FLICM and RFLICM algorithms.

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Index Terms

Computer Science
Information Sciences

Keywords

Synthetic aperture radar (SAR) images Change Detection clustering Image Fusion fuzzy local information C- means algorithm (FLICM) reformulated fuzzy local information C- means algorithm (RFLICM)

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