ID 原文 译文
18335 该文针对上述问题，基于生成对抗网络开展运动散焦后红外图像复原方法研究，采用生成对抗网络抑制红外图像的运动散焦模糊，提出一种针对红外图像的多尺度生成对抗网络(IMdeblurGAN)在高效抑制红外图像运动散焦模糊的同时保持红外图像细节对比度，提升移动平台上夜间目标的检测与识别能力。 In order to solve the above problems, based on the research of infrared image restoration method after motion defocusing using generating confrontation network, a Infrared thermal image Multi scaled eblur Generative Adversarial Network (IMdeblur GAN) is proposed to suppress motion defocusing blurring effectively while preserving the image by using generating confrontation network to suppress the motion defocusing blurring of infrared image to hold the contrast of infrared image details, to improve the detection and recognition ability of night targets on motion platform.
18336 实验结果表明：该方法相对已有最优模糊图像复原方法，图像峰值信噪比(PSNR)提升5%，图像结构相似性(SSIMx)提升4%，目标识别YOLO置信度评分提升6%。 The experimental results show that compared withthe existing optimal restoration methods for blurred images, Peak Signal to Noise Ratio (PSNR) of the image isincreased by 5%, the Structure SIMilarity (SSIM) is increased by 4%, and the confidence score of YOLO fortarget recognition is increased by 6%.
18337 黄河是我国华北地区重要的水资源，采用雷达遥感方式对其径流进行监测可以便捷地反映出黄河的旱涝变化趋势，具有重要的现实意义。 The Yellow River is an important water resource in China. Using radar remote sensing to monitor the runoff of the Yellow River can conveniently reflect the changing trend of drought and flood, which has important practical significance.
18338 目前，雷达遥感径流反演常用雷达高度计(RA)获取水位信息用以构建水深-径流模型，这种方法忽略了河面变化对径流波动的影响，具有一定的局限性。 At present, Radar Altimeter (RA) commonly is used to construct a water depth-runoff model in runoff inversion. This method ignores the influence of river surface change on runoff fluctuation and has certain limitations.
18339 该文提出一种基于多源雷达遥感技术的径流计算模型(MRRS-RCM)，综合应用RA测高技术与合成孔径雷达(SAR)信息提取技术，以曼宁公式为基础，构建MRRS-RCM模型实现径流反演。 A Multi-source Radar Remote Sensing Runoff Calculation Model(MRRS-RCM) is proposed. In this study, RA technology and Synthetic Aperture Radar (SAR) technology are used to construct MRRS-RCM model on the basis of the Manning’s equation to realize runoff inversion.
18340 该文选取黄河下游3个研究站点进行径流反演实验，结果证明MRRS-RCM模型径流反演结果的相对均方根误差(RRMSE)达到13.969%，优于传统径流监测15%～20%的精度要求。 Threestations are selected for experiments in the lower reaches of the Yellow River. The results show that the Relative Root Mean Square Error (RRMSE) of MRRS-RCM runoff inversion reaches 13.969%, which is better than the accuracy requirement of traditional runoff monitoring of 15%～20%.
18341 针对米波雷达低仰角目标的DOA估计问题，该文提出一种新的基于多帧相位特征增强方法，所提方法可以有效解决低仰角条件下阵列接收信号中直达信号相位特征模糊问题，进而提高DOA估计精度。 For the DOA estimation problem of low-elevation target of VHF radar, a new multi-frame phase feature enhancement based method is proposed, which solves effectively the phase feature ambiguity of direct signal, and thus improves the accuracy of DOA estimation.
18342 通过学习多帧原始数据的相位分布特征与理想环境下直达波信号的相位分布特征之间的复杂映射关系，有效削弱多径信号引起的相位误差，将增强后的相位信息与原始的幅度信息进行数据重组，并利用已有的超分辨算法进行DOA估计。 By learning the complex mapping relationshipbetween the phase distribution of the multi-frame data and ideal phase distribution of the direct signal, thefuzzy phase information is enhanced and is used to reconstruct a new data matrix with original amplitudeinformation. The DOA is estimated by conventional methods using new data matrix, which effectively improvesthe DOA estimation accuracy of the low-elevation target.
18343 通过计算机仿真实验和实测数据验证，该文所提方法在DOA估计性能以及泛化能力上优于基于物理驱动的MUSIC算法以及数据驱动的基于特征反演和基于支持向量回归的两种估计方法。 The effectiveness of proposed method is validated by computer simulation experiments and real data, and it shows higher accuracy compared with physics-driven methods including MUSIC method and state-of-the-art data-driven method including feature reversal and Support Vector Regression (SVR).
18344 阵发性房颤(PAF)是一种具有偶发性的心律失常，其较高的漏检率导致心脏相关疾病的增加。 Paroxysmal Atrial Fibrillation (PAF) is a kind of accidental arrhythmia, and its high missed detection rate leads to the increase of heart-related diseases.