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This paper presents the implementation of Synthetic Aperture Radar (SAR) image enhancement and information extraction techniques using multicore Graphic Processing Units (GPUs) connected into a cloud computing environment. The Bayesian approach to SAR image despeckling and information extraction is presented. The first order Bayesian inference is used to estimate a maximum a posteriori (MAP) estimate...
This letter presents the despeckling of synthetic aperture radar (SAR) images within the bandelet and contourlet domains. A model-based approach is presented for the despeckling of SAR images. The speckle-reduced estimate is found using the first-order Bayesian inference, and the best model's parameters are estimated using the second-order Bayesian inference. Synthetic and real images are used for...
This paper presents model based despeckling and soil moisture estimation using TerraSAR-X data. The impact of despeckling on soil moisture estimation is presented and compared with real-ground measurements. This paper presents the model based despeckling using a maximum a posteriori approach. The prior is modeled using the auto-binomial model and Gauss Markov random field (GMRF). Both models belong...
This paper presents despeckling and information extraction using non-quadratic regularization. The novelty of this paper is that instead of the Gaussian prior model a Gauss-Markov random field model is chosen, because it can efficiently model textures in the images. The iterative procedure consists of noise-free image and texture parameter. The experimental results show that the proposed method satisfactorily...
This paper presents a possibility of supervision against leaks in artificially made river canals, which can be done by estimating soil moisture content with TerraSAR-X synthetic radar aperture images. For soil moisture estimation problem an empirical model was used, which estimates dielectric constant and later on this can be transformed into soil water moisture content.
This paper presents an adaptive lifting scheme for integer-to-integer wavelet transform, and its performance on lossless compression of digital images. We optimize the coefficients of the predict filter to minimize the predictor error variance for every image. The optimized coefficient depends on the variance-normalized autocorrelation function of the image. The proposed lifting scheme adapts not...
This paper presents three types of lifting schemes, which includes normal lifting scheme, integer lifting scheme and optimization of integer wavelet transforms based on lifting scheme. Paper also gives a comparison between these types of lifting schemes and their algorithms. To determine the quality of reconstructed images the PSNR ratio is introduced.
In this article we present a procedure for detecting vehicle's orange marking plates on the picture or frame of a video sequence, using color segmentation. In regard to robust detection, we use additional information about illuminating light color temperature and Radon transform for shape detection. The experiments confirm, that described method improves the efficiency of marking plate detection algorithm
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