A fuzzy approach for speckle noise reduction in SAR images

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)

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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.

Item Type: Article
Uncontrolled Keywords: Synthetic aperture radar (SAR); Speckle noise; De-speckle; Image filter; Image processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Institute of Postgraduate Studies
Faculty of Electrical & Electronic Engineering
Depositing User: Noorul Farina Arifin
Date Deposited: 07 Sep 2016 08:08
Last Modified: 08 Jan 2024 01:28
URI: http://umpir.ump.edu.my/id/eprint/14340
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