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Detection cof multiple scatterers for localizing the targets is one of the key issues in SAR tomography. Recently, a Generalized Likelihood Ratio Test based on support estimation (Sup-GLRT) [10] has been presented. This test exhibits a high computational complexity. In this paper a modified approach for reducing computational complexity (Fast-Sup-GLRT) is proposed. The prime objective is to analyze...
In this paper, the problem of detecting and localizing multiple scatterers in SAR tomography, starting from compressed measurements is considered. This problem can be addressed as the detection of a sparse signal within the compressed domain and can be approached in the framework of Compressive Sensing (CS) theory. While CS literature has focused on the problem of signal reconstruction, this is frequently...
In this paper we focus on the detection of single and double scatterers in SAR tomography. In particular, the performance of a support based Generalized Likelihood Ratio Test (GLRT) approach is analyzed, using TerraSAR-X system parameters, with particular reference to the elevation resolution achievable for an assigned probability of false alarm and with a given number of acquisitions. Results on...
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