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The Constant False Alarm Rate (CFAR) algorithm is most commonly used for small target detection in SAR images. As the goodness-of-fit of distribution model to SAR clutter has great effect on the performance of algorithm, after a comprehensive statistical analysis of background clutters of different SAR data, a modified CFAR algorithm based on the Alpha-stable distribution is proposed for detecting...
As less attention has been devoted to land scattering in high-resolution SAR, especially satellite image, a comprehensive statistical analysis of COSMO/SkyMed SAR data is carried out in this paper. The images of different land types (such as bare soil, grassland, water, forestland, urban area and farmland) are analyzed by means of histogram, kurtosis and covariance estimation. As the experimental...
The inconsistency and redundant attributes of a sample data set will drop the classification quality and efficiency. In this paper, the method that can make the classification data set consistent and select a smallest feature variable set is proposed. This method groups together the inconsistent datum of the most likely category to make the data set uniform, based on Bayesian formula. Then with the...
For the purpose of reducing the effect of non-line-of-sight (NLOS) error that inhibits accurate location of mobile stations (MS), a novel approach based on the method of joint variance matching algorithm (JVMA) [1] is presented in our research. In order to improve location accuracy, scattering models are used to classify propagation environments and model the NLOS error effect to be incorporated into...
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