Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution

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 Ramin; SAFARI ABDOLREZA; HOMAYOUNI SAEID

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

Journal Paper

Paper Information

Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2019 | Volume:6 | Issue:4 Page(s): 149-162

Download Full-Text

Persian Verion

View:

492

Download:

Cites:

Information Journal Paper

Title

Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution

Author(s)

Farhadiani Ramin | SAFARI ABDOLREZA | HOMAYOUNI SAEID | Issue Writer Certificate

Keywords

Synthetic Aperture RadarQ1

Speckle ReductionQ1

Wavelet TransformQ1

Laplace DistributionQ1

Abstract

Speckle is a granular noise-like phenomenon which appears in Synthetic Aperture Radar (SAR) images due to coherent properties of SAR systems. The presence of speckle complicates both human and automatic analysis of SAR images. As a result, Speckle Reduction is an important preprocessing step for many SAR remote sensing applications. Speckle Reduction can be made through multi-looking during the image formation or using spatial filters as a preprocessing step. However, these methods have some limitations such as a decrease in spatial resolution or smoothening of details and edges. To overcome these problems, Multi-Resolution Analysis (MRA), such as Wavelet Transform, should be used. In this paper, a despeckling method based on the Bayesian theory and Maximum a Posteriori (MAP) estimator in the wavelet domain was proposed. The noise-free wavelet coefficients of the logarithmically transformed image and the noise in the wavelet domain were modeled based on the Laplace and Gaussian distributions respectively. VisuShrink, SureShrink, and BayesShrink methods were also implemented and applied to both simulated and real SAR data for comparison purpose and to assess the proposed method. PSNR and beta edge preserving index were used to evaluate the performance of simulated SAR data, while ENL was employed to evaluate the real SAR data. Experimental results of despeckling showed the superior performance of the proposed method in suppressing the speckle efficiently and preserving better the spatial details in the SAR image

Cites

No record.

References

No record.

Cite

APA: Copy

Farhadiani, Ramin, SAFARI, ABDOLREZA, & HOMAYOUNI, SAEID. (2019). Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 6(4 ), 149-162. SID. https://sid.ir/paper/230064/en

Vancouver: Copy

Farhadiani Ramin, SAFARI ABDOLREZA, HOMAYOUNI SAEID. Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2019;6(4 ):149-162. Available from: https://sid.ir/paper/230064/en

IEEE: Copy

Ramin Farhadiani, ABDOLREZA SAFARI, and SAEID HOMAYOUNI, “Speckle Reduction in Synthetic Aperture Radar Images in Wavelet Domain Using Laplace Distribution,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 6, no. 4 , pp. 149–162, 2019, [Online]. Available: https://sid.ir/paper/230064/en

Related Journal Papers