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Item L0 NORM OPTIMIZATION IN SAR IMAGE RECONSTRUCTION BASED ON SPARSE DECOMPOSITION(Бургаски свободен университет, 2015) Лазаров, Андон; Минчев, ДимитърSynthetic Aperture Radar SAR) image reconstruction algorithms based sparse decomposition is considered. The linear frequency modulated (LFM) signal reflected from the scene, relief of the Earth surface is presented as matrix multiplication of three matrices: azimuth Inverse Discrete Fourier Transform (IDFT) matrix, image matrix and range IDFT matrix. L0 norm optimization image reconstruction procedure is applied over reduced number of measurements defined by randomly generated azimuth and range sensing matrix. The geometry of the scene is described by standard Matlab „peaks” function. Results of numerical experiments are provided.Item SAR модел на процеса на изобразяване(Бургаски свободен университет, 2010) Лазаров, Андон; Минчев, ДимитърThis work addresses the model of SAR imaging process. SAR Geometry with thoroughly mathematical description of the observed surface is suggested. SAR emitted signal with linear frequency modulation is used to produce reflected by surface SAR signal model presented as four-dimensional array (matrix) and generated by Hadamard product with special defined rectangular function. Two-dimensional Fourier transform is applied to obtain single look complex image, which can be used to generate interferograms. To verify proposed geometrical and signal models a realization of the processing chain, implemented in MATLAB environment is illustrated.