Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images

Synthetic Aperture Radars (SAR) are classified as active sensors. It has been capable of producing images with high spatial resolution, and able to observe at day and night and in all-weather condition. With these advantages, SAR image becomes more popular than the Optical image. SAR image formatio...

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Main Authors:	Santoso, Ardhi W., Bayuaji, Luhur, Jasni, Mohamad Zain, Pebrianti, Dwi, Lim, Tien Sze, Habibah, Lateh
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Malaysia Pahang 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/15903/ http://umpir.ump.edu.my/id/eprint/15903/ http://umpir.ump.edu.my/id/eprint/15903/1/P036%20pg243-252.pdf

id	ump-15903
recordtype	eprints
spelling	ump-159032020-02-21T07:54:56Z http://umpir.ump.edu.my/id/eprint/15903/ Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images Santoso, Ardhi W. Bayuaji, Luhur Jasni, Mohamad Zain Pebrianti, Dwi Lim, Tien Sze Habibah, Lateh TK Electrical engineering. Electronics Nuclear engineering Synthetic Aperture Radars (SAR) are classified as active sensors. It has been capable of producing images with high spatial resolution, and able to observe at day and night and in all-weather condition. With these advantages, SAR image becomes more popular than the Optical image. SAR image formation process led to speckle noise; it causes difficulties in the process of interpretation and analysis of SAR images. Fuzzy approach is a technique that can be used to reduce speckle noise. It has been used in the ultrasonic image in the medical field and showed good performance in image filtering to reduce speckle noise. Implemented to SAR images for reduce speckle noise by replacing the center pixel local neighbor Frost's with digital numbers that calculate by fuzzy filter. Proposed filters applied into a homogeneous and heterogeneous area in SAR images, aims to measure the robustness of the proposed filters in speckle noise reduction and texture preservation, mainly in homogeneous areas. All of areas is filtered using proposed filters; that's, Frost-TMED, Frost-ATMED, Frost-ATMAV and Frost-TMAV combination. Evaluation has been made, to measure the performance of filters, major in speckle noise reduction and texture preservation. The experiment result shows that the combination of Frost-TMAV has the highest performance. It has been verified that the Frost-TMAV filtering approach is performing better than the other filters, which mean being able to produce good-quality images than other filters. It also produces an obvious example of speckle reduction processing; features of tissues are enhanced and a good preserve on texture. The result shows that fuzzy approach has robustness to reduce speckle noise in SAR image, especially in ALOS-PALSAR’s raw data, which require clarity of the image for further processing. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15903/1/P036%20pg243-252.pdf Santoso, Ardhi W. and Bayuaji, Luhur and Jasni, Mohamad Zain and Pebrianti, Dwi and Lim, Tien Sze and Habibah, Lateh (2016) Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 243-252.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Santoso, Ardhi W. Bayuaji, Luhur Jasni, Mohamad Zain Pebrianti, Dwi Lim, Tien Sze Habibah, Lateh Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images
description	Synthetic Aperture Radars (SAR) are classified as active sensors. It has been capable of producing images with high spatial resolution, and able to observe at day and night and in all-weather condition. With these advantages, SAR image becomes more popular than the Optical image. SAR image formation process led to speckle noise; it causes difficulties in the process of interpretation and analysis of SAR images. Fuzzy approach is a technique that can be used to reduce speckle noise. It has been used in the ultrasonic image in the medical field and showed good performance in image filtering to reduce speckle noise. Implemented to SAR images for reduce speckle noise by replacing the center pixel local neighbor Frost's with digital numbers that calculate by fuzzy filter. Proposed filters applied into a homogeneous and heterogeneous area in SAR images, aims to measure the robustness of the proposed filters in speckle noise reduction and texture preservation, mainly in homogeneous areas. All of areas is filtered using proposed filters; that's, Frost-TMED, Frost-ATMED, Frost-ATMAV and Frost-TMAV combination. Evaluation has been made, to measure the performance of filters, major in speckle noise reduction and texture preservation. The experiment result shows that the combination of Frost-TMAV has the highest performance. It has been verified that the Frost-TMAV filtering approach is performing better than the other filters, which mean being able to produce good-quality images than other filters. It also produces an obvious example of speckle reduction processing; features of tissues are enhanced and a good preserve on texture. The result shows that fuzzy approach has robustness to reduce speckle noise in SAR image, especially in ALOS-PALSAR’s raw data, which require clarity of the image for further processing.
format	Conference or Workshop Item
author	Santoso, Ardhi W. Bayuaji, Luhur Jasni, Mohamad Zain Pebrianti, Dwi Lim, Tien Sze Habibah, Lateh
author_facet	Santoso, Ardhi W. Bayuaji, Luhur Jasni, Mohamad Zain Pebrianti, Dwi Lim, Tien Sze Habibah, Lateh
author_sort	Santoso, Ardhi W.
title	Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images
title_short	Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images
title_full	Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images
title_fullStr	Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images
title_full_unstemmed	Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images
title_sort	speckle noise reduction method based on fuzzy approach for synthetic aperture radar images
publisher	Universiti Malaysia Pahang
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15903/ http://umpir.ump.edu.my/id/eprint/15903/ http://umpir.ump.edu.my/id/eprint/15903/1/P036%20pg243-252.pdf
first_indexed	2023-09-18T22:21:05Z
last_indexed	2023-09-18T22:21:05Z
_version_	1777415661376503808

Speckle Noise Reduction Method Based on Fuzzy Approach for Synthetic Aperture Radar Images

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