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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 that occurs in t...

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主要な著者: Santoso, Ardhi W., Bayuaji, Luhur, Pebrianti, Dwi, Suryanti, Awang, Lim, Tien Sze, Habibah, Lateh, Jasni, Mohamad Zain
フォーマット: 論文
言語:English
English
出版事項: IASE 2016
主題:
QA75 Electronic computers. Computer science
オンライン･アクセス: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
http://umpir.ump.edu.my/id/eprint/14340/
http://www.science-gate.com/IJAAS/Articles/2016-3-5/06%202016-3-5-pp.33-38.pdf
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record_format eprints
spelling my.ump.umpir.143402024-01-08T01:28:41Z 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. Thus, speckle noise reduction needs as prepossessing procedure prior to the use of the SAR images. The ideal speckle filter has the capability of reducing speckle noise without losing the information and preserving texture. Fuzzy approach has a good performance to reduce speckle noise in a medical image, which is occurred on a SAR image. It proposed a filter which is a combination of fuzzy with qualified existing filter that applied to SAR image, aimed at eliminating speckle noise while maintaining texture. The results showed that the proposed filter has better performance than commonly used filters such as the Mean, Median, Kuan, Lee, and Frost filters. The experiments conducted in a homogeneous area; forests, plantations and oceans from ALOS-PALSAR image in the area of Kuantan, 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). (Published) http://www.science-gate.com/IJAAS/Articles/2016-3-5/06%202016-3-5-pp.33-38.pdf
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle 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. Thus, speckle noise reduction needs as prepossessing procedure prior to the use of the SAR images. The ideal speckle filter has the capability of reducing speckle noise without losing the information and preserving texture. Fuzzy approach has a good performance to reduce speckle noise in a medical image, which is occurred on a SAR image. It proposed a filter which is a combination of fuzzy with qualified existing filter that applied to SAR image, aimed at eliminating speckle noise while maintaining texture. The results showed that the proposed filter has better performance than commonly used filters such as the Mean, Median, Kuan, Lee, and Frost filters. The experiments conducted in a homogeneous area; forests, plantations and oceans from ALOS-PALSAR image in the area of Kuantan, 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/14340/1/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
http://umpir.ump.edu.my/id/eprint/14340/
http://www.science-gate.com/IJAAS/Articles/2016-3-5/06%202016-3-5-pp.33-38.pdf
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score 13.251813

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