Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Multidimensional Speckle Noise Model | EURASIP Journal on Applied Signal Processing 2005 20 3259-3271 2005 Carlos Lopez-Martinez et al. Multidimensional Speckle Noise Model Carlos Lopez-Martinez Equipe SAPHIR Institut d Electronique et de Telecommunications de Rennes UMR CNRS 6164 Universite de Rennes 1 Campus de Beaulieu Building 11D Room 101 263 Avenue General Leclerc 35042 Rennes Cedex France Email Xavier Fabregas Grup de Teledeteccio Activa Departament de Teoria del Senyal i Communications Universitat Politecnica de Catalunya UPC Campus Nord Building D3 Room 118 Calle Jordi Girona 1-3 08034 Barcelona Spain Email fabregas@ Eric Pottier Equipe SAPHIR Institut d Electronique et de Telecommunications de Rennes UMR CNRS 6164 Universite de Rennes 1 Campus de Beaulieu Building 11D Room 101 263 Avenue General Leclerc 35042 Rennes Cedex France Email Received 30 June 2004 Revised 23 November 2004 One of the main problems of SAR imagery is the presence of speckle noise originated by the inherent coherent nature of this type of systems. For one-dimensional SAR systems it has been demonstrated that speckle can be considered as a multiplicative noise term. Nevertheless this simple model cannot be exported when multidimensional SAR imagery is addressed. This paper is devoted to present the latest advances into the definition of a multidimensional speckle noise model which does not depend on the data dimensionality. Speckle noise may be modeled by multiplicative and additive noise sources whose combination is determined by the data s correlation structure. The validity of the proposed model is demonstrated by its application to a real L-band multidimensional SAR dataset acquired by the German ESAR sensor. Keywords and phrases multidimensional SAR imagery speckle noise noise modeling. 1. INTRODUCTION Synthetic aperture radar SAR has become a well established active microwave imaging technique capable of monitoring and characterizing the surface of .
