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)

[img] PDF
fskkp-2016-santoso-Fuzzy Approach for Speckle Noise.pdf
Restricted to Registered users only

Download (370kB) | Request a copy
fskkp-2016-santoso-Fuzzy Approach for Speckle Noise1.pdf

Download (208kB) | Preview


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. T hus, speckle noise reduction need s as prepossessing procedure prior to the u se of the SAR images. The ideal speckle filter has the capability of reducing speckle noise without losing the information and preserving texture. Fuzzy ap proach has a good performance to reduce speckle noise in a medical image, wh ich is occurred on a SAR image. It propo sed a filter which is a combin ation of fuzzy with qualified existing filter tha t applied to SAR image, aimed at eliminating speckle noise while maintaining texture. The results showed tha t the proposed filter has better perf ormance than commonly used filte rs such as the Mean, Median, Kuan, Lee, and Frost filters. The experiments conducted in a homogeneous area; forests, pla ntations and oceans from ALOS-P ALSAR image in the area of Kuant an, 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
Depositing User: Noorul Farina Arifin
Date Deposited: 07 Sep 2016 08:08
Last Modified: 21 Feb 2020 07:54
URI: http://umpir.ump.edu.my/id/eprint/14340
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item