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Article
Multispectral Fusion for Synthetic Aperture Radar (SAR) Image Based Framelet Transform

Author: Mohammed Hussein Miry
Journal: IRAQI JOURNAL OF COMPUTERS,COMMUNICATION AND CONTROL & SYSTEMS ENGINEERING المجلة العراقية لهندسة الحاسبات والاتصالات والسيطرة والنظم ISSN: 18119212 Year: 2013 Volume: 13 Issue: 3 Pages: 10-14
Publisher: University of Technology الجامعة التكنولوجية

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Abstract

Abstract-The technique of fusing a panchromatic (Pan) SAR image that has a highspatialand low-spectral resolution with multispectral (MS) SAR images that have alow-spatial and high spectral resolution is very useful in many remote sensingapplications that require both high-spatial and high-spectral resolution. In this paper,method for fusion SAR image is proposed based on framelet transform and newselection rule. The framelet transform is nearly shift-invariant with desired properties,short support, and symmetry. In the selection rule of proposed method, max rule isreplaced with new relation depending on input SAR image. The proposed method iscompared with other method such as HIS, PCA and wavelet methods. A quality of fusedimage is calculated based on the combination entropy, the correlation coefficient andthe peak signal to noise ratio. It is showed from simulation result the quality measuredfor proposed method can indicate the information content of the fused image is highercompared to the information content of the input panchromatic and multispectralimages, also its noticed the proposed method provides richer information comparingwith other methods.


Article
Speckle Denoising for Synthetic Aperture Radar Images Based on Genetic Algorithm and 2D Dual-Tree Complex Wavelet Transform (2D-DT-CWT)

Author: Mohammed Hussein Miry محمد حسين مري
Journal: Journal of Engineering and Sustainable Development مجلة الهندسة والتنمية المستدامة ISSN: 25200917 Year: 2011 Volume: 15 Issue: 1 Pages: 52-63
Publisher: Al-Mustansyriah University الجامعة المستنصرية

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Abstract

Synthetic aperture radar (SAR) images are an important tool for obtaining target information in remote sensing. Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenomenon. It appears sensible to reduce speckle in SAR images, provided that the structural features and textural information are not lost. Present A novel speckle removal algorithm is presented by using Dual-Tree Complex Wavelet Transform (2D-DT-CWT) and Genetic algorithm (GA). In the proposed model, Genetic algorithm based on 2D Dual-Tree Complex Wavelet Transform is introduced into the method of noise reduction where parameters used in Dual-Tree Complex Wavelet Transform, such as, decomposition levels, hard or soft threshold and threshold value can be selected automatically. Simulation results show that by using proposed method, obtain higher Peak Signal to Noise Ratio (PSNR) comparing with classical wavelet transform for all the denoised SAR images with speckle noise. The effectiveness of proposed method introduced in this paper is validated by the results of analysis of the simulated.

صور رادار الفتحة الصناعي(SAR) أداة مهمة للحصول على معلومات عن الهدف عن بعد. صور رادار الفتحة الصناعي تتأثر بضوضاء النقط وهو نتيجة للطبيعة المتماسكة لظاهرة التبعثر. عند إزالة ضوضاء النقط يجب إن لا نخسر المعلومات الموجودة في صور SAR . في هذا البحث اقترح طريقة لإزالة ضوضاء النقط باستخدام الجينة الوراثية (GA) المحول المويجي المركب ثنائي الإبعاد ذي الشجرة الثنائية (2D-DT-CWT). في هذا النموذج المقترح لإزالة ضوضاء النقط , الجينات الوراثية تستطيع اختيار العناصر التي تستخدم في محول المويجي المركب ثنائي الإبعاد ذي الشجرة الثنائية مثل ( عدد مستويات التحليل و قيمة العتبة و عتبة hard او soft ( بصورة تلقائية .محصلة نتائج المحاكة بينت إن النموذج المقترح يستطيع الحصول على نسبة عالية لنسبة قمة الإشارة إلى الضوضاء(PSNR) بالمقارنة مع الطرق الاعتيادية لإزالة ضوضاء النقط في صور SAR وكذلك تبين ان النموذج المقترح ذو فعالية عالية

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