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This paper discusses methods and parameter settings that help to estimate texture in SAR images. In general, this is a difficult task for SAR images that are characterized by speckle noise and which span a wide range of pixel magnitudes. We applied Gauss Markov Random Field (GMRF) models and Enhanced Model Based Despeckling (EMBD) to 1 meter resolution amplitude images of the German TerraSAR-X mission...
This paper proposes a new-wavelet-based synthetic aperture radar (SAR) image despeckling algorithm using the sequential Monte Carlo method. A model-based Bayesian approach is proposed. This paper presents two methods for SAR image despeckling. The first method, called WGGPF, models a prior with Generalized Gaussian (GG) probability density function (pdf) and the second method, called WGMPF, models...
The last two decades showed an important development of satellite imagery with past and present satellites acquiring enormous volumes of data. Meanwhile, the quality of the acquired images increased permitting the recording of high resolution images (0.6divide2.5 meters/pixel) in multispectral bands. Thus, both the data volume and the information detail increase dramatically. Consequently, new methods...
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