A high-contrast inpainting scheme, based on the Complex Ginzburg-Landau equation, is successfully applied to restoration of SAR interferograms. The algorithm demonstrates quite effective in recovering the phase values in low coherence regions. The validation setup has been carried out in the presence of additive phase noise with a suitable probability density function. Results show that the application of the proposed algorithm to small regions produces very good results both in terms of Signal-to-Noise Ratio (SNR) and in terms of Mean Square Error (MSE).

A new algorithm for noise reduction and quality improvement in SAR Interferograms using inpainting and diffusion

ULLO S;DI BISCEGLIE M;GALDI C
2011

Abstract

A high-contrast inpainting scheme, based on the Complex Ginzburg-Landau equation, is successfully applied to restoration of SAR interferograms. The algorithm demonstrates quite effective in recovering the phase values in low coherence regions. The validation setup has been carried out in the presence of additive phase noise with a suitable probability density function. Results show that the application of the proposed algorithm to small regions produces very good results both in terms of Signal-to-Noise Ratio (SNR) and in terms of Mean Square Error (MSE).
978-1-4577-1003-2
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/8378
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