Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
Synthetic Aperture Radar (SAR) image with its advantages, is becoming popular than the optical image in earth observation using the remote - sensing techniques. The SAR image has a high resolution and not influenced by weather conditions either day or night. SAR's image...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Research India Publications
2016
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| Subjects: | |
| Online Access: | http://www.ripublication.com/ijaer16/ijaerv11n15_61.pdf http://www.ripublication.com/ijaer16/ijaerv11n15_61.pdf http://umpir.ump.edu.my/14342/1/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction.pdf http://umpir.ump.edu.my/14342/7/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction1.pdf |
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| Summary: | Synthetic Aperture Radar (SAR) image with its advantages, is
becoming popular than the optical image in earth observation
using the remote
-
sensing
techniques. The SAR image has a
high resolution and not influenced by weather conditions either
day or night. SAR's image formation process led to speckle
noise; it causes difficulties during the process of interpretation
and analysis of SAR images. Thus,
speckle noise reduction
needs to be deployed prior to the use of the SAR images. The
ideal speckle filter has the capability of reducing speckle noise
without losing the information and content, while preserving
the edges and features. To date, various no
ise filters have been
designed for different purposes and different capacities. In this
study, we discussed four filters, namely Lee, Frost, Median and
Mean filter. Those four filters are analyzed and compared based
upon the quality parameter and statistic
al performance using
SAR sample image respectively. We are analyzing quality
parameter and comparing statistical performance of Lee, Frost,
Mean and Median filters for SAR sample image. The results
show Mean Square Error (MSE), Average Difference (AD),
Pea
k Signal to Noise Ratio (PSNR), Signal to Noise Ratio
(SNR) and Structural Similarity Index Measure (SSIM) value
that generated on SAR image with four different areas by Frost
filter performs better than the other filter. Visual interpretation
of the de
-
sp
eckle image that filtered with Frost filter shows
sharpens edge and preserved texture to the SAR image |
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