سال انتشار: ۱۳۹۰
محل انتشار: دومین کنفرانس ملی محاسبات نرم و فن آوری اطلاعات
تعداد صفحات: ۵
gholamreza akbarizadeh – assistant professor at engineering department shahid chamran ahvaz
in this paper a new algorithm for segmentation of synthetic aperture radar images using the kurtosis wavelet energyhas been presented the kurtosis is the 4th order cumulant which extracts the statistical properties of each region of a sar image . Sar image have nonlinearity in intensity inhomogeneities bacause of the speckle noise the algorithmwhich we proposed in this paper is a region -based active contour model that is able to use the intensity information in local regions this algorithm also in able to cope with the speckle noise and nonlinear intensity inhomogeneity of SAR images we use the wavelet energy to analyze each sub-band of a SAR image the results of the proposed algorithm on the test SAR images of agricultural and urban regions show a good performance of this method.