Comparison of Fuzzy Filters on Synthetic Aperture Radar Image

Comparison of Fuzzy Filters on Synthetic Aperture Radar Image

The Synthetic Aperture Radar (SAR) image with its advantages is becoming more popular than the optical image in earth observation in using the remote-sensing techniques. However, the speckle noise that occurs in the SAR image causes difficulties in image interpretation. Thus, speckle noise reduction...

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Main Authors: Santoso, Ardhi W., Bayuaji, Luhur, Pebrianti, Dwi, Habibah, Lateh, Tien, Sze Lim, Jasni, Mohamad Zain
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2016
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/17563/
http://umpir.ump.edu.my/id/eprint/17563/
http://umpir.ump.edu.my/id/eprint/17563/1/Comparison%20of%20fuzzy%20filters%20on%20Synthetic%20Aperture%20Radar%20image.pdf
http://umpir.ump.edu.my/id/eprint/17563/2/Comparison%20of%20fuzzy%20filters%20on%20Synthetic%20Aperture%20Radar%20image%201.pdf
id ump-17563
recordtype eprints
spelling ump-175632020-02-21T07:54:40Z http://umpir.ump.edu.my/id/eprint/17563/ Comparison of Fuzzy Filters on Synthetic Aperture Radar Image Santoso, Ardhi W. Bayuaji, Luhur Pebrianti, Dwi Habibah, Lateh Tien, Sze Lim Jasni, Mohamad Zain QA76 Computer software The Synthetic Aperture Radar (SAR) image with its advantages is becoming more popular than the optical image in earth observation in 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 prepossessing procedure prior to the use of the SAR images. This study is done by proposed fuzzy filters that utilize SAR data. From the comparison, the combination of Frost-Triangular Moving Average (TMAV) has the best performance in the ability to reduce speckle noise than other filters. This filter improved the Frost filter performance for speckle noise reduction parameter's measurement, shows that 13.41% for Equivalent Number of Looks (ENL) and 6.07% for Speckle Index (SI). While Frost-Asymmetric Triangular Moving Average (ATMAV) has a relatively good performance for preserved texture. This filter improved the texture parameters such as Standard Deviation improved 4.33% and improved Variance for 8.46%. However, for the Mean parameters, Frost-Triangular Median Center (TMED) combination has the best performance compared to other filters, which improved the mean value for 7.10%. The comparative study it has been verified that the fuzzy approach has the robustness in the reduction of speckle noise and preserving the texture when applied in SAR image. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17563/1/Comparison%20of%20fuzzy%20filters%20on%20Synthetic%20Aperture%20Radar%20image.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/17563/2/Comparison%20of%20fuzzy%20filters%20on%20Synthetic%20Aperture%20Radar%20image%201.pdf Santoso, Ardhi W. and Bayuaji, Luhur and Pebrianti, Dwi and Habibah, Lateh and Tien, Sze Lim and Jasni, Mohamad Zain (2016) Comparison of Fuzzy Filters on Synthetic Aperture Radar Image. In: 2nd International Conference on Science and Technology-Computer (ICST), 27-28 October 2016 , Yogyakarta, Indonesia. pp. 1-6.. ISBN 978-1-5090-4357-6 https://doi.org/10.1109/ICSTC.2016.7877342
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Santoso, Ardhi W.
Bayuaji, Luhur
Pebrianti, Dwi
Habibah, Lateh
Tien, Sze Lim
Jasni, Mohamad Zain
Comparison of Fuzzy Filters on Synthetic Aperture Radar Image
description The Synthetic Aperture Radar (SAR) image with its advantages is becoming more popular than the optical image in earth observation in 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 prepossessing procedure prior to the use of the SAR images. This study is done by proposed fuzzy filters that utilize SAR data. From the comparison, the combination of Frost-Triangular Moving Average (TMAV) has the best performance in the ability to reduce speckle noise than other filters. This filter improved the Frost filter performance for speckle noise reduction parameter's measurement, shows that 13.41% for Equivalent Number of Looks (ENL) and 6.07% for Speckle Index (SI). While Frost-Asymmetric Triangular Moving Average (ATMAV) has a relatively good performance for preserved texture. This filter improved the texture parameters such as Standard Deviation improved 4.33% and improved Variance for 8.46%. However, for the Mean parameters, Frost-Triangular Median Center (TMED) combination has the best performance compared to other filters, which improved the mean value for 7.10%. The comparative study it has been verified that the fuzzy approach has the robustness in the reduction of speckle noise and preserving the texture when applied in SAR image.
format Conference or Workshop Item
author Santoso, Ardhi W.
Bayuaji, Luhur
Pebrianti, Dwi
Habibah, Lateh
Tien, Sze Lim
Jasni, Mohamad Zain
author_facet Santoso, Ardhi W.
Bayuaji, Luhur
Pebrianti, Dwi
Habibah, Lateh
Tien, Sze Lim
Jasni, Mohamad Zain
author_sort Santoso, Ardhi W.
title Comparison of Fuzzy Filters on Synthetic Aperture Radar Image
title_short Comparison of Fuzzy Filters on Synthetic Aperture Radar Image
title_full Comparison of Fuzzy Filters on Synthetic Aperture Radar Image
title_fullStr Comparison of Fuzzy Filters on Synthetic Aperture Radar Image
title_full_unstemmed Comparison of Fuzzy Filters on Synthetic Aperture Radar Image
title_sort comparison of fuzzy filters on synthetic aperture radar image
publisher IEEE
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/17563/
http://umpir.ump.edu.my/id/eprint/17563/
http://umpir.ump.edu.my/id/eprint/17563/1/Comparison%20of%20fuzzy%20filters%20on%20Synthetic%20Aperture%20Radar%20image.pdf
http://umpir.ump.edu.my/id/eprint/17563/2/Comparison%20of%20fuzzy%20filters%20on%20Synthetic%20Aperture%20Radar%20image%201.pdf
first_indexed 2023-09-18T22:24:20Z
last_indexed 2023-09-18T22:24:20Z
_version_ 1777415865579339776

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