基于视觉传达的模糊激光遥感图像重建方法  

Fuzzy laser remote sensing image reconstruction method based on visual communication

作　　者：马瑞 MA Rui(Zhengzhou University of Industrial Technology,Zhengzhou 451150,China)

机构地区：[1]郑州工业应用技术学院,郑州451150

出　　处：《激光杂志》2024年第5期99-103,共5页Laser Journal

基　　金：河南省自然科学基金项目(No.174500410670)。

摘　　要：受到成像设备、传输环境等因素的影响,导致激光遥感图像存在明显的模糊现象,为恢复激光遥感图像质量提出基于视觉传达的模糊激光遥感图像重建方法。利用视觉传达技术获取模糊激光遥感图像,从纹理、统计分布、频率等方面提取图像特征,以此作为图像重构规律,通过图像配准、去模糊、噪声等步骤,得出模糊激光遥感图像重建结果,以可视化的形式输出。通过测试实验得出结论:与传统重建方法相比,优化方法得出重建图像峰值信噪比最高达到了38 dB,结构相似性最高达到了0.94,表明优化方法在重建质量方面具有明显优势。Due to factors such as imaging equipment and transmission environment,laser remote sensing images exhibit significant blurring.To restore the quality of laser remote sensing images,a fuzzy laser remote sensing image reconstruction method based on visual communication is proposed.Using visual communication technology to obtain fuzzy laser remote sensing images,image features are extracted from texture,statistical distribution,frequency,and other aspects as image reconstruction rules.Through image registration,deblurring,noise,and other steps,the reconstruction results of fuzzy laser remote sensing images are obtained and output in a visualized form.Through testing experiments,it was concluded that compared with traditional reconstruction methods,the optimization method achieved a peak signal-to-noise ratio of 38 dB and a structural similarity of 0.94,indicating that the optimization method has significant advantages in reconstruction quality.

关 键 词：视觉传达 激光遥感图像 模糊图像 图像重建 

分 类 号：TN911[电子电信—通信与信息系统]