Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Exploiting Intra-scale and Inter-scale Dependencies

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Farhadiani r.; SAFARI A.R.; HOMAYOUNI S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY Year:2019 | Volume:8 | Issue:4 Page(s): 57-70

Download Full-Text

Persian Verion

View:

515

Download:

Cites:

Information Journal Paper

Title

Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Exploiting Intra-scale and Inter-scale Dependencies

Author(s)

Farhadiani r. | SAFARI A.R. | HOMAYOUNI S. | Issue Writer Certificate

Keywords

Synthetic Aperture RadarQ1

SpeckleQ1

Wavelet TransformQ1

Maximum a Posteriori EstimatorQ1

Abstract

Synthetic Aperture Radar (SAR) images are inherently affected by a multiplicative noise-like phenomenon called Speckle, which is indeed the nature of all coherent systems. Speckle decreases the performance of almost all the information extraction methods such as classification, segmentation, and change detection, therefore Speckle must be suppressed. Despeckling can be applied by the multilooking method when the image is formed or by spatial filters after the image formation. However, multilooking decreases the spatial resolution. Moreover, the performance of spatial filters depends on the size and the orientation of used window’ s kernel. To overcome these limitations, Multi-Resolution Analysis (MRA), e. g., Wavelet Transform (WT), can be used. In this article, based on the intra-scale and inter-scale dependencies of wavelet coefficients and by employing the Maximum a Posteriori (MAP) estimator, a method for denoising the wavelet coefficients was proposed. Distributions of noise and noise-free wavelet coefficients in wavelet domain were considered as bivariate Gaussian and bivariate circular symmetric Laplace PDFs, respectively. For comparison analysis, Lee and Frost filters were used, also several classical thresholding methods such as VisuShrink, SureShrink, and BayesShrink were employed. Peak Signal-to-Noise Ratio (PSNR) and edge-preserving index beta were used to evaluate the simulated SAR data. Also, Equivalent Number of Looks (ENL) was employed for real SAR data. Experimental results showed that the proposed despeckling method performed more efficiently to suppress the Speckle and preserve the edges than others. For instance, the PSNR and beta values that computed for 16 looks simulated SAR data were equal to 30. 42 and 0. 734, respectively. Also, the ENL values for region 1 of Noerdlinger and San Francisco images corresponded to 71. 12 and 34. 57, respectively.

Cites

No record.

References

No record.

Cite

APA: Copy

Farhadiani, r., SAFARI, A.R., & HOMAYOUNI, S.. (2019). Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Exploiting Intra-scale and Inter-scale Dependencies. JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY, 8(4 ), 57-70. SID. https://sid.ir/paper/249587/en

Vancouver: Copy

Farhadiani r., SAFARI A.R., HOMAYOUNI S.. Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Exploiting Intra-scale and Inter-scale Dependencies. JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY[Internet]. 2019;8(4 ):57-70. Available from: https://sid.ir/paper/249587/en

IEEE: Copy

r. Farhadiani, A.R. SAFARI, and S. HOMAYOUNI, “Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Exploiting Intra-scale and Inter-scale Dependencies,” JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY, vol. 8, no. 4 , pp. 57–70, 2019, [Online]. Available: https://sid.ir/paper/249587/en

Related Journal Papers