Notice of RetractionNear Range Millimeter Wave Radiometer Passive Image High Resolution Restoration

Wang Ben-qing, Li Xing-guo
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引用次数: 3

Abstract

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.
关于近距离毫米波辐射计无源图像高分辨率恢复的通知
由于毫米波图像比光学图像分辨率低、噪声大,因此如何恢复高分辨率毫米波图像显得尤为重要,目前已经开展了大量的研究工作。然而,近距离条件下扫描图像恢复技术的研究鲜有报道。天线特性的变化是影响近距离成像质量的主要因素,如天线方向图主瓣出现波动,增益大大降低。此外,伺服机构的扫描运动是影响成像质量的另一个重要因素。本文首先对扫描原型的点扩散函数(PSF)进行估计,建立模糊模型,然后将估计的PSF作为初始值加入到最大似然估计和盲反卷积相结合的恢复算法中,恢复对隐藏目标毫米波图像的恢复。仿真结果表明,组合恢复算法具有较好的效果和收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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