Near Range Millimeter Wave Radiometer Passive Image High Resolution Restoration
Since a millimeter wave (MMW) image is lower resolution and higher noise than optical,it appears particularly important to restore high resolution MMW image,on which many works have been done. However there is rare report on scanning image restoration technology under near range conditions. Change of antenna characteristics is main factor to affect image quality in near range,for example,the antenna pattern mainlobe emerges fluctuation and the gain is greatly reduced In addition,scanning movement of servomechanism is another important factor to affect imaging quality. This paper firstly estimates point spread function (PSF) of scanning prototype to establish blurred model,and then takes estimated PSF as initial value into restoration algorithm that combines maximum likelihood (ML) estimation and blind deconvolution techniques,resumes restoration of hidden target MMW images. Simulations show that the combined restoration algorithm is better in effect and convergence.
MMW radiometer near range passive imaging PSF estimation Image restoration
WANG Ben-qing LI Xing-guo
Institute of Millimeter Wave and Optical Near Sensing Technology,Nanjing University of Science & Technology,Nanjing 210094,China
国际会议
2008 Global Symposium on Millimeter Waves(GSMM 2008)(2008全球毫米波学术大会)
南京
英文
325-328
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）