检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:杜雄宇 汪琪 欧阳光洲 马灵玲 陶醉 黄方 牛沂芳 Du Xiongyu;Wang Qi;Ouyang Guangzhou;Ma Lingling;Tao Zui;Huang Fang;Niu Yifang(Key Laboratory of Quantitative Remote Sensing Information Technology,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;School of Resources and Environment,University of Electronic Science and Technology of China,Chengdu 611731,Sichuan,China)
机构地区:[1]中国科学院空天信息创新研究院中国科学院定量遥感信息技术重点实验室,北京100094 [2]中国科学院大学电子电气与通信工程学院,北京100049 [3]电子科技大学资源与环境学院,四川成都611731
出 处:《光学学报》2024年第2期153-162,共10页Acta Optica Sinica
基 金:国家重点研发计划(2022YFB3903000,2022YFB3903001);基础加强计划领域基金。
摘 要:提出一种成像前评价关联成像系统性能的方法,基于通信系统信道评价方法对观测矩阵进行分析,计算成像系统的信道容量,以信道容量来评价系统性能。对100幅成像场景、20种不同类型的观测矩阵以及2种重建算法进行成像仿真,并与成像重建后的图像质量评测效果进行对比分析。结果表明:本文在成像前对系统性能的评价结果与成像后的验证结果具有较好的一致性,当采样比例相同时,重构图像的均方差和信道容量对矩阵元素分布类型具有相同的依赖关系;当矩阵元素分布类型相同时,归一化信道容量和归一化反转均方差随采样次数变化的曲线具有很高的拟合程度,其拟合系数R2值普遍大于0.8。本文方法具有很强的适用性,其效果不随图像尺寸的变化而变化,能够广泛应用于常见的遥感场景。Objective Ghost imaging has emerged as a promising technique,which is characterized by mitigating the adverse effects of atmospheric turbulence and scattering media,and has the potential to surpass the diffraction limitations.Meanwhile,its potential applications in remote sensing are highly anticipated.However,effective evaluation methods that can quantitatively assess the influence of various components within the imaging system on its performance should be proposed to facilitate the practical implementation of ghost imaging.Such methods can provide valuable support for the design and optimization of imaging systems.Currently,one area of research focuses on evaluating the influence of the observation matrix.Although commonly adopted evaluation methods that rely heavily on specific imaging scenarios and reconstructed images can accurately characterize the effect of the observation matrix based on image quality after reconstruction,they often fall short of independently assessing the system's overall performance.Therefore,it is essential to put forward a quantitative evaluation method prior to the reconstruction stages.Studies have indicated that information theory-based approaches hold promise in achieving this objective.Some researchers have evaluated the influence of factors such as the row number or the distribution type of the observation matrix on system performance by calculating the mutual information between signals received by bucket detectors and imaging scenes.Despite favorable results yielded by their methods,they encounter challenges such as difficulty in acquiring prior information or limited applicability.To this end,we explore a novel method for evaluating the performance of ghost imaging systems before the reconstruction process.This method employs communication system channel evaluation techniques to analyze and assess the observation matrix.By treating the observation matrix as a channel matrix,we derive the channel capacity of the sampling system and utilize it to evaluate the influence of the
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.179