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 the performance of Fast-Sup-GLRT detector in terms of implementation and computational complexity. For an assigned probability of false alarm and with a given number of acquisitions the performance is analyzed and compared with the one obtained with the Sup-GLRT. Results on simulated and real HighRes SpotLight TerraSAR-X data are presented.
A modified statistical test based on support estimation for multiple scatterers detection in SAR tomography
BUDILLON, Alessandra;SCHIRINZI, Gilda
2016-01-01
Abstract
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 the performance of Fast-Sup-GLRT detector in terms of implementation and computational complexity. For an assigned probability of false alarm and with a given number of acquisitions the performance is analyzed and compared with the one obtained with the Sup-GLRT. Results on simulated and real HighRes SpotLight TerraSAR-X data are presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
