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...
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ump-143402020-02-21T07:54:28Z http://umpir.ump.edu.my/id/eprint/14340/ A Fuzzy Approach for Speckle Noise Reduction in SAR Images Santoso, Ardhi W. Bayuaji, Luhur Pebrianti, Dwi Suryanti, Awang Lim, Tien Sze Habibah, Lateh Jasni, Mohamad Zain QA75 Electronic computers. Computer science 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. IASE 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14340/1/fskkp-2016-santoso-Fuzzy%20Approach%20for%20Speckle%20Noise.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14340/7/fskkp-2016-santoso-Fuzzy%20Approach%20for%20Speckle%20Noise1.pdf Santoso, Ardhi W. and Bayuaji, Luhur and Pebrianti, Dwi and Suryanti, Awang and Lim, Tien Sze and Habibah, Lateh and Jasni, Mohamad Zain (2016) A Fuzzy Approach for Speckle Noise Reduction in SAR Images. International Journal of Advanced and Applied Sciences, 3 (5). pp. 33-38. ISSN 0973-4562 (Print); 0973-9769 (Online) http://www.science-gate.com/IJAAS/Articles/2016-3-5/06%202016-3-5-pp.33-38.pdf |
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QA75 Electronic computers. Computer science Santoso, Ardhi W. Bayuaji, Luhur Pebrianti, Dwi Suryanti, Awang Lim, Tien Sze Habibah, Lateh Jasni, Mohamad Zain A Fuzzy Approach for Speckle Noise Reduction in SAR Images |
description |
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. |
format |
Article |
author |
Santoso, Ardhi W. Bayuaji, Luhur Pebrianti, Dwi Suryanti, Awang Lim, Tien Sze Habibah, Lateh Jasni, Mohamad Zain |
author_facet |
Santoso, Ardhi W. Bayuaji, Luhur Pebrianti, Dwi Suryanti, Awang Lim, Tien Sze Habibah, Lateh Jasni, Mohamad Zain |
author_sort |
Santoso, Ardhi W. |
title |
A Fuzzy Approach for Speckle Noise Reduction in SAR Images |
title_short |
A Fuzzy Approach for Speckle Noise Reduction in SAR Images |
title_full |
A Fuzzy Approach for Speckle Noise Reduction in SAR Images |
title_fullStr |
A Fuzzy Approach for Speckle Noise Reduction in SAR Images |
title_full_unstemmed |
A Fuzzy Approach for Speckle Noise Reduction in SAR Images |
title_sort |
fuzzy approach for speckle noise reduction in sar images |
publisher |
IASE |
publishDate |
2016 |
url |
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 |
first_indexed |
2023-09-18T22:17:59Z |
last_indexed |
2023-09-18T22:17:59Z |
_version_ |
1777415465777233920 |