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Speckle noise removal for synthetic aperture radar imagery based on statistics filters and nonlinearing function
Other Title(s)
إزالة الضوضاء Speckles من الصور SAR على أساس المرشحات الاحصائية و الدالة الغير خطية
Author
Source
Engineering and Technology Journal
Issue
Vol. 30, Issue 13 (31 Dec. 2012), pp.2252-2264, 13 p.
Publisher
Publication Date
2012-12-31
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
صور الرادار ال (SAR) غالبا ما تكون مشوهة بالضوضاء المضاعفة Multiplicative Noise بسبب تماسك طول الموجه للرادار، و تسمى Speckle Noise مما يؤدي إلى تقليل في كفاءة كشف الهدف و خوارزميات التصنيف.
في هذا البحث، النقاط المشوهة تستبدل بقيمة مقدرة باستخدام المرشح البسيط الذي يعمل على أساس المرشحات الإحصائية مع الدالة اللاخطية و التي تعمل في الوقت نفسه في تخفض الضوضاء noise بدون تشويه الحافات أو الخواص الأخرى للصورة المستلمة من الرادار.
المقارنات الكمية و النوعية للنتائج التي تم الحصول أوضحت أن أداء المرشح المقترح أعلى في تقليل التشويه مع المحافظة على خواص التذبذب العالي (الحافات) في صور الرادار.
Abstract EN
Sy nthetic Aperture Radar(SAR) images are contaminated by multiplicative noise, due to the coherence of the radar wavele ngth, labe led as spe ckle noise whic h results in an important reduction in the efficiency of target detection and classific ation algorithms .
In this pape r the corrupted pixels are replaced by an estimated value using the simple filter based statistics filters with nonlinear function which are worke d at the same time to reduce the speckle noise without blurring edges or other fe atures in SAR image ry .
Quantitative and qualitative comparisons of the results obtained by the proposed method with the results achieved from the other speckle noise reduction filters demonstrate its higher performance for speckle re duction with preserving high frequency features (edges) in SAR images.
American Psychological Association (APA)
Ali, Iqbal Husayn. 2012. Speckle noise removal for synthetic aperture radar imagery based on statistics filters and nonlinearing function. Engineering and Technology Journal،Vol. 30, no. 13, pp.2252-2264.
https://search.emarefa.net/detail/BIM-320867
Modern Language Association (MLA)
Ali, Iqbal Husayn. Speckle noise removal for synthetic aperture radar imagery based on statistics filters and nonlinearing function. Engineering and Technology Journal Vol. 30, no. 13 (2012), pp.2252-2264.
https://search.emarefa.net/detail/BIM-320867
American Medical Association (AMA)
Ali, Iqbal Husayn. Speckle noise removal for synthetic aperture radar imagery based on statistics filters and nonlinearing function. Engineering and Technology Journal. 2012. Vol. 30, no. 13, pp.2252-2264.
https://search.emarefa.net/detail/BIM-320867
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 2261-2264
Record ID
BIM-320867