高炉浓尘环境料面散射特性建模与成像  被引量:1

Scattering characteristics modeling and imaging of blast furnace burden surface in dusty environment

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作  者:于晴 侯庆文[1,2] 陈先中[1,2] YU Qing;HOU Qingwen;CHEN Xianzhong(School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education,University of Science and Technology Beijing,Beijing 100083,China)

机构地区:[1]北京科技大学自动化学院,北京100083 [2]北京科技大学工业过程知识自动化教育部重点实验室,北京100083

出  处:《系统工程与电子技术》2023年第5期1277-1285,共9页Systems Engineering and Electronics

基  金:国家自然科学基金(61671054);北京市自然科学基金(4182038)资助课题。

摘  要:工业恶劣成像环境下的雷达图像常存在对比度低和清晰度差等问题,质量退化的图像直接影响计算机视觉任务的处理效果以及目标参数反演结果。因此,对高炉料面后向散射进行建模,并针对弥散浓尘环境下的随机粗糙料面成像,提出一种基于衰减补偿和散射修正的成像方法。考虑微波沿空间路径的传播损耗,在回波模型中加入环境因子,采用瑞利散射和积分方程法分别求解衰减系数和粗糙面的后向散射系数,从传输损耗和散射机理出发,对图像进行损耗补偿以及目标像素亮度的提升,减小图像因成像环境、目标距离以及表面起伏形状不同造成的信号强度差异。通过南钢3号高炉雷达数据验证算法,目标像素亮度差异平均减小4.33 dB,有效改善雷达成像中高炉径向距离起伏料面的成像性能。In harsh industrial environments,radar imaging is subject to low contrast and blurred target outlines.The affected quality of the radar imaging can interfere the results of computer vision tasks and cause errors in the results of parameter inversion.In this paper,the back-scattering characteristics of blast furnace burden surface are modeled,and an imaging algorithm based on attenuation compensation and scatter correction is proposed to improve the image quality of random rough surface in a dense dust environment.Considering the propagation loss of microwave along the path,environmental factors are added to the echo model.The attenuation coefficient and the back-scattering coefficient are obtained by Rayleigh scattering and integral equation methods.Based on the transmission loss and scattering mechanism,the target pixel values are compensated,so that the contrast between the target and the background is improved.Differences in pixel values due to the imaging environment,objects at different distances,and the degree of surface inclination are reduced by the prposed algorithm,which is verified by the No.3 blast furnace radar data of Nanjing Iron and Steel.The target pixel brightness difference is reduced by 4.33 dB on average,and the object imaging is more uniform and clearer.

关 键 词:散射特性 随机粗糙面 损耗补偿 高炉料面成像 

分 类 号:TN959.57[电子电信—信号与信息处理]

 

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