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According to the different characteristics that signal and noise exhibit during the wavelet decomposition, a new denoising method based on the second wavelet packet decomposition is presented. In this paper, by using the best wavelet packet, the synthetic aperture radar (SAR) images are decomposed and the norm of each sub-band is calculated. Then signals and noise can be discriminated and the images...
The study of electromagnetic scatter characteristic is significative for reducing the RCS(radar cross section) of radar target and improving the stealth performance of weapon system. For diagnosing the scattering coefficients distribution of radar target exactly, the mechanism of microwave imaging is analyzed in this paper, a novel near-distance high-resolution microwave imaging approach is presented...
The finite ridgelet transform proposed by Donoho has successful application in edge detection and segmentation of images with high-noise, but it has a drawback which is due to annoying "wrap-around" effect to the finite Radon transform. As a result, it may also produce "alias" edges and "holes" in the reconstructed image. In this paper, we present a new finite ridgelet...
A new adaptive contourlet transform-based technique for SAR image speckles removal is presented. It relies on realistic distribution of the SAR image's contourlet coefficients that represent mainly speckle noise on one hand and those that represent the useful signals corrupted on the other hand. The analytic model for these distributions is proposed. The shrinkage factor for despeckling is estimated...
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