Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image

Synthetic Aperture Radar (SAR) image with its advantages, is becoming popular than the optical image in earth observation using the remote - sensing techniques. The SAR image has a high resolution and not influenced by weather conditions either day or night. SAR's image forma...

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Main Authors: Santoso, Ardhi W., Bayuaji, Luhur, Lim, Tien Sze, Habibah, Lateh, Jasni, Mohamad Zain
Format: Article
Language:English
English
Published: Research India Publications 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/14342/1/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction.pdf
http://umpir.ump.edu.my/id/eprint/14342/7/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction1.pdf
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author Santoso, Ardhi W.
Bayuaji, Luhur
Lim, Tien Sze
Habibah, Lateh
Jasni, Mohamad Zain
author_facet Santoso, Ardhi W.
Bayuaji, Luhur
Lim, Tien Sze
Habibah, Lateh
Jasni, Mohamad Zain
author_sort Santoso, Ardhi W.
collection UMP
description Synthetic Aperture Radar (SAR) image with its advantages, is becoming popular than the optical image in earth observation using the remote - sensing techniques. The SAR image has a high resolution and not influenced by weather conditions either day or night. SAR's image formation process led to speckle noise; it causes difficulties during the process of interpretation and analysis of SAR images. Thus, speckle noise reduction needs to be deployed prior to the use of the SAR images. The ideal speckle filter has the capability of reducing speckle noise without losing the information and content, while preserving the edges and features. To date, various no ise filters have been designed for different purposes and different capacities. In this study, we discussed four filters, namely Lee, Frost, Median and Mean filter. Those four filters are analyzed and compared based upon the quality parameter and statistic al performance using SAR sample image respectively. We are analyzing quality parameter and comparing statistical performance of Lee, Frost, Mean and Median filters for SAR sample image. The results show Mean Square Error (MSE), Average Difference (AD), Pea k Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR) and Structural Similarity Index Measure (SSIM) value that generated on SAR image with four different areas by Frost filter performs better than the other filter. Visual interpretation of the de - sp eckle image that filtered with Frost filter shows sharpens edge and preserved texture to the SAR image
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spelling UMPir143422020-02-21T07:54:16Z http://umpir.ump.edu.my/id/eprint/14342/ Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image Santoso, Ardhi W. Bayuaji, Luhur Lim, Tien Sze Habibah, Lateh Jasni, Mohamad Zain QA75 Electronic computers. Computer science Synthetic Aperture Radar (SAR) image with its advantages, is becoming popular than the optical image in earth observation using the remote - sensing techniques. The SAR image has a high resolution and not influenced by weather conditions either day or night. SAR's image formation process led to speckle noise; it causes difficulties during the process of interpretation and analysis of SAR images. Thus, speckle noise reduction needs to be deployed prior to the use of the SAR images. The ideal speckle filter has the capability of reducing speckle noise without losing the information and content, while preserving the edges and features. To date, various no ise filters have been designed for different purposes and different capacities. In this study, we discussed four filters, namely Lee, Frost, Median and Mean filter. Those four filters are analyzed and compared based upon the quality parameter and statistic al performance using SAR sample image respectively. We are analyzing quality parameter and comparing statistical performance of Lee, Frost, Mean and Median filters for SAR sample image. The results show Mean Square Error (MSE), Average Difference (AD), Pea k Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR) and Structural Similarity Index Measure (SSIM) value that generated on SAR image with four different areas by Frost filter performs better than the other filter. Visual interpretation of the de - sp eckle image that filtered with Frost filter shows sharpens edge and preserved texture to the SAR image Research India Publications 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14342/1/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14342/7/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction1.pdf Santoso, Ardhi W. and Bayuaji, Luhur and Lim, Tien Sze and Habibah, Lateh and Jasni, Mohamad Zain (2016) Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image. International Journal of Applied Engineering Research (IJAER), 11 (15). pp. 8760-8767. ISSN 0973-4562 (print); 1087-1090 (online). (Published) http://www.ripublication.com/ijaer16/ijaerv11n15_61.pdf
spellingShingle QA75 Electronic computers. Computer science
Santoso, Ardhi W.
Bayuaji, Luhur
Lim, Tien Sze
Habibah, Lateh
Jasni, Mohamad Zain
Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
title Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
title_full Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
title_fullStr Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
title_full_unstemmed Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
title_short Comparison of Various Speckle Noise Reduction Filters on Synthetic Aperture Radar Image
title_sort comparison of various speckle noise reduction filters on synthetic aperture radar image
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/14342/1/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction.pdf
http://umpir.ump.edu.my/id/eprint/14342/7/fskkp-2016-santoso-Comparison%20of%20various%20speckle%20noise%20reduction1.pdf
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