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作 者:陈欣 乔梁 CHEN Xin;QIAO Liang(College of big data and artificial intelligence,Chongqing Institute of Engineering,Chongqing 400056,China;College of Biomedical Engineering and Imaging Medicine,Army Medical University,Chongqing 400038,China)
机构地区:[1]重庆工程学院大数据与人工智能学院,重庆400056 [2]陆军军医大学生物医学工程与影像医学系,重庆400038
出 处:《激光杂志》2023年第8期226-230,共5页Laser Journal
基 金:重庆市技术创新与应用示范项目(No.cstc2018jscx-msybX0073);陆军装备军内科研项目(No.LJ20202C020613)。
摘 要:为提升目标成像的边缘强度和信息饱和度,获取高质量激光雷达成像结果为目的,提出了种基于压缩感知技术的激光雷达成像方法。利用传输介质获取目标物体被激光束照射后反射的回波信号,对回波信号进行去噪处理,基于光信号获取目标物体光强信号,根据光强信号与空间光调制器形成的测量矩阵,复原初始目标物体图像,并通过匹配与识别等处理过程得到目标物体。实验结果显示该方法可有效消除回波信号中的噪声,边缘强度最高可达到89%,信息饱和度最高可达到85%,实际应用价值高。In order to improve the edge intensity and information saturation of target imaging and obtain high-qual-ity lidar imaging results,a lidar imaging method based on compressed sensing technology is proposed.The transmission medium is used to obtain the echo signal reflected by the target object after being irradiated by the laser beam.The ech-o signal is denoised.The light intensity signal of the target object is obtained based on the optical signal.According to the measurement matrix formed by the light intensity signal and the spatial light modulator,the initial image of the tar-get object is restored,and the target object is obtained through the processes of matching and recognition.The experi-mental results show that this method can effectively eliminate the noise in the echo signal.The maximum edge intensity can reach 89%and the maximum information saturation can reach 85%.It has high practical value.
关 键 词:压缩感知 激光雷达成像 回波信号 降噪处理 光强信号 测量矩阵
分 类 号:TN249[电子电信—物理电子学]
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