Title :
A statistical inversion algorithm for aperture synthesis radiometers
Author :
Fangmin He ; Qingxia Li ; Yaoting Zhu ; Ke Chen ; Zubiao Xiong
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In order to deal with the inverse problem in aperture synthesis radiometers (ASRs) imaging, some deterministic inversion algorithms are proposed. However, these inversion algorithms are deficient in utilizing the statistical properties of visibility samples and reconstructed image. In this paper, the probability density functions of visibility samples and pixels of reconstructed image are investigated. A statistical inversion algorithm is presented, in which the statistical properties are introduced to constrain solution of the inverse problem. Simulation and experiment results show the statistical inversion algorithm can greatly improve the image quality of ASRs.
Keywords :
image reconstruction; inverse problems; microwave imaging; radiometers; remote sensing; statistical analysis; ASR imaging; aperture synthesis radiometers; deterministic inversion algorithms; image quality; inverse problem; probability density functions; reconstructed image; statistical inversion algorithm; statistical properties; visibility samples; Apertures; Covariance matrix; Gaussian distribution; Helium; Image quality; Image reconstruction; Inverse problems; Pixel; Probability density function; Radiometers; aperture synthesis radiometers; inverse problem; inversion algorithm; statistical property;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4076-4
DOI :
10.1109/MAPE.2009.5355942
