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Performance of Various Speckle Reduction Filters on Synthetic Aperture Radar Image

Santoso, Ardhi W. and Pebrianti, Dwi and Bayuaji, Luhur and Jasni, Mohamad Zain (2015) Performance of Various Speckle Reduction Filters on Synthetic Aperture Radar Image. In: 4th International Conference on Software Engineering and Computer Systems (ICSECS 2015), 19-21 August 2015 , Kuantan, Pahang. pp. 11-14.. ISBN 978-1-4673-6722-6

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Abstract

Synthetic Aperture Radar (SAR) image with its advantages, becoming popular than the optical image. However, the speckle in causes difficulties in the interpretation and analysis during image processing. Thus, before the SAR images are used, speckle noise reduction is necessary. The ideal speckle filter has the main goal of reducing speckle noise without losing the information, content, and preserve the edges and features. Various noise filters have been designed for different purposes and different capacities. In this study, we discuss four filters, namely Lee, Frost, Median and Mean filter. We are analyzing quality parameter and comparing statistic performance of Lee, Frost, Mean and Median filters for SAR sample data. The results show MSE, PSNR, SNR, and AD value that generate by Frost filter performs better than the other filter. And from visual interpretation of the de-speckle image that filtered with Frost filter, show sharpen edge and preserved texture.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: synthetic aperture radar (SAR); speckle noise; despeckle; image filter; image processing
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 04 Dec 2015 03:52
Last Modified: 02 May 2018 03:01
URI: http://umpir.ump.edu.my/id/eprint/10477
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