J.Marimuthu
Assistant Professor Head - Department of CSE, Sri Vidya College of Engineering and Technology, Virudhunagar, Tamilnadu, India.
Assistant Professor Head - Department of CSE, Sri Vidya College of Engineering and Technology, Virudhunagar, Tamilnadu, India.
Change detection approach
for synthetic aperture radar (SAR) images is based on an image fusion and a
spatial fuzzy clustering algorithm. The image fusion technique generates a
difference image by using complementary information from a mean-ratio image and
a log-ratio image. Wavelet fusion rules based on an average operator and
minimum local area energy are chosen to fuse the wavelet coefficients for a
low-frequency band and high-frequency band, respectively to restrain the
background information and enhance the information of changed regions in the
fused difference image. A fuzzy local-information C-means clustering algorithm
proposed for classifying changed and unchanged regions in the fused difference
image. It incorporates the information about spatial context in a novel fuzzy
way for the purpose of enhancing the changed information and reduces the effect
of speckle noise. In rationing, changes are obtained by applying pixel-by-pixel
ratio operator to the considered couple of temporal images. In the case of SAR
images, the ratio operator is typically used instead of subtraction operator.
The result will be proven that rationing generates better difference image for
change detection using spatial fuzzy clustering approach and efficiency of this
algorithm will be exhibited by sensitivity and correlation evaluation.
