① (中国科学院电子学研究所 北京 100190) ② (微波成像技术重点实验室 北京 100190) ③ (中国科学院大学 北京 100049)
Statistical Models of Speckle for Circular SAR Imaging
Guo Xiao-yang①②③ Li Yang①②③ Lin Yun①② Guo Sheng-long①②③ Hong Wen①②
①(The Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(Science and Technology on Microwave Imaging Laboratory, Beijing 100190, China) ③(University of Chinese Academy of Sciences, Beijing 100049, China)
Circular Synthetic Aperture Radar (CSAR) is a recently developed all-directional high-resolution imaging mode, which is efficient in dealing with the target recognition, area monitoring, and three-dimensional reconstruction because of the acquisition of 360° data in a single pass. To obtain the entire 360° image using information from all subapertures, the following methods are used: (1) the coherent addition method, (2) the incoherent addition method, and (3) the maximum-intensity methods. In this study, different statistical models of speckle in CSAR images are proposed and the speckle reduction of each model is discussed. Experiments show that the incoherent addition and maximum-intensity methods reduce speckle, whereas the coherent addition method does not.
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2015, Vol. 4 
