A Fuzzy Approach for Speckle Noise Reduction in SAR Images
The Synthetic Aperture Radar (SAR) image has a high resolution and not influenced by weather conditions either day or night. SAR image with its advantages, is becoming popular than the optical image in earth observation using the remote-sensing techniques. However, the speckle noise...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
IASE
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/14340/ http://umpir.ump.edu.my/id/eprint/14340/ http://umpir.ump.edu.my/id/eprint/14340/1/fskkp-2016-santoso-Fuzzy%20Approach%20for%20Speckle%20Noise.pdf http://umpir.ump.edu.my/id/eprint/14340/7/fskkp-2016-santoso-Fuzzy%20Approach%20for%20Speckle%20Noise1.pdf |
| Summary: | The Synthetic Aperture Radar (SAR) image has a high resolution
and not
influenced by weather conditions
either day or night. SAR image
with its
advantages, is becoming popular
than the optical image in earth
observation
using the remote-sensing techniques. However, the speckle noise
that occurs
in the SAR image causes difficulties in image interpretation. T
hus, speckle
noise reduction need
s as prepossessing procedure prior to the u
se of the SAR
images. The ideal speckle filter
has the capability of reducing
speckle noise
without losing the information and preserving texture. Fuzzy ap
proach has a
good performance to reduce speckle noise in a medical image, wh
ich is
occurred on a SAR image. It propo
sed a filter which is a combin
ation of fuzzy
with qualified existing filter tha
t applied to SAR image, aimed
at eliminating
speckle noise while maintaining
texture. The results showed tha
t the
proposed filter has better perf
ormance than commonly used filte
rs such as
the Mean, Median, Kuan, Lee, and Frost filters. The experiments
conducted in
a homogeneous area; forests, pla
ntations and oceans from ALOS-P
ALSAR
image in the area of Kuant
an, Pahang, Malaysia. |
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