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Ultrafast Dynamics Through Conical Intersections in 2,6-dimethylpyridine Studied with Time-resolved Photoelectron Imaging
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作者 邱学军 朱荣淑 +3 位作者 徐晏琪 布玛利亚·阿布力米提 张嵩 张冰 《Chinese Journal of Chemical Physics》 SCIE CAS CSCD 2011年第5期551-556,I0003,共7页
The ultrafast dynamics through conical intersections in 2,6-dimethylpyridine has been studied by femtosecond time-resolved photoelectron imaging coupled with time-resolved mass spectroscopy. Upon absorption of 266 nm ... The ultrafast dynamics through conical intersections in 2,6-dimethylpyridine has been studied by femtosecond time-resolved photoelectron imaging coupled with time-resolved mass spectroscopy. Upon absorption of 266 nm pump laser, 2,6-dimethylpyridine is excited to the S2 state with a ππ character from So state. The time evolution of the parent ion signals consists of two exponential decays. One is a fast component on a timescale of 635 fs and the other is a slow component with a timescale of 4.37 ps. Time-dependent photo- electron angular distributions and energy-resolved photoelectron spectroscopy are extracted from time-resolved photoelectron imaging and provide the evolutive information of S2 state. In brief, the ultrafast component is a population transfer from S2 to S1 through the S2/S1 conical intersections, the slow component is attributed to simultaneous IC from the S2 state and the higher vibrational levels of S1 state to So state, which involves the coupling of S2/S0 and S1/So conical intersections. Additionally, the observed ultrafast S2--+S1 transition occurs only with an 18% branching ratio. 展开更多
关键词 2 6-dimethylpyridine Photoelectron imaging Conical intersection Internalconversion Time-resolved spectroscopy
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Rupture imaging of the 25 April 2015 M_W7.9 Nepal earthquake from back-projection of teleseismic P waves
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作者 Yong Qiu Qiaoxia Liu 《Earthquake Science》 CSCD 2018年第4期199-207,共9页
The M7.9 Nepal earthquake of 25 April2015 had over 8, 500 fatalities and was the most destructive earthquake in Nepal since the Bihar-Nepal earthquake in 1934.In this study, we imaged the rupture process of this Nepal... The M7.9 Nepal earthquake of 25 April2015 had over 8, 500 fatalities and was the most destructive earthquake in Nepal since the Bihar-Nepal earthquake in 1934.In this study, we imaged the rupture process of this Nepal event by back-projecting the teleseismic P-wave energy recorded at the three regional networks in Alaska, Australia and Europe. The back-projection images of the three subarrays revealed that the Nepal earthquake propagated along the strike in a southeast direction over a distance of ~ 160–170 km with the duration of ~ 50–55 s. The rupture process was found to be a simple, unilateral event with a near constant velocity of 3.3 km/s.The beam power was mainly distributed in the geographic region just north of Kathmandu and the peak intensity for the source time function curve occurred at about 30 s. The earthquake was destructive due to its occurrence at shallow depth(~ 12–15 km) and the fact that the capital lies in a basin of soft sediment. Additionally, the resonance effect for the longer period waves that occurred in the Kathmandu valley led to destructive aggravation, impacting mainly the taller buildings. 展开更多
关键词 rupture imaging Nepal MW7.9 earthquake back-projection regional arrays
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USING COVARIANCE INTERSECTION FOR CHANGE DETECTION IN REMOTE SENSING IMAGES 被引量:2
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作者 Yang Meng Zhang Gong 《Journal of Electronics(China)》 2011年第1期87-94,共8页
In this paper,an unsupervised change detection technique for remote sensing images acquired on the same geographical area but at different time instances is proposed by conducting Covariance Intersection(CI) to perfor... In this paper,an unsupervised change detection technique for remote sensing images acquired on the same geographical area but at different time instances is proposed by conducting Covariance Intersection(CI) to perform unsupervised fusion of the final fuzzy partition matrices from the Fuzzy C-Means(FCM) clustering for the feature space by applying compressed sampling to the given remote sensing images.The proposed approach exploits a CI-based data fusion of the membership function matrices,which are obtained by taking the Fuzzy C-Means(FCM) clustering of the frequency-domain feature vectors and spatial-domain feature vectors,aimed at enhancing the unsupervised change detection performance.Compressed sampling is performed to realize the image local feature sampling,which is a signal acquisition framework based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable recovery.The experimental results demonstrate that the proposed algorithm has a good change detection results and also performs quite well on denoising purpose. 展开更多
关键词 image Change detection Covariance intersection (CI) FUSION SAR image MULTI-SPECTRAL
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Influence of limited-view scanning on depth imaging of photoacoustic tomography 被引量:1
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作者 Wu Dan Tao Chao +1 位作者 Liu Xiao-Jun Wang Xue-Ding 《Chinese Physics B》 SCIE EI CAS CSCD 2012年第1期273-278,共6页
We study the influence of limited-view scanning on the depth imaging of photoacoustic tomography. The situation, in which absorbers are located at different depths with respect to the limited-view scanning trajectory,... We study the influence of limited-view scanning on the depth imaging of photoacoustic tomography. The situation, in which absorbers are located at different depths with respect to the limited-view scanning trajectory, is called depth imaging and is investigated in this paper. The results show that limited-view scanning causes the reconstructed intensity of deep absorbers to be weaker than that of shallow ones and that deep absorbers will be invisible if the scanning range is too small. The concept of effective scanning angle is proposed to analyse that phenomenon. We find that an effective scanning angle can well predict the relationship between scanning angle and the intensity ratio of absorbers. In addition, limited-view scanning is employed to improve image quality. 展开更多
关键词 photoacoustic tomography limited-view scanning depth imaging back-projection re-construction
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Approach for ISAR imaging of near-field targets based on coordinate conversion and image interpolation 被引量:1
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作者 ZHOU Xingyu WANG Yong LU Xiaofei 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第2期425-436,共12页
Inverse synthetic aperture radar(ISAR)imaging of near-field targets is potentially useful in some specific applications,which makes it very important to efficiently produce highquality image of the near-field target.I... Inverse synthetic aperture radar(ISAR)imaging of near-field targets is potentially useful in some specific applications,which makes it very important to efficiently produce highquality image of the near-field target.In this paper,the simplified target model with uniform linear motion is applied to the near-field target imaging,which overcomes the complexity of the traditional near-field imaging algorithm.According to this signal model,the method based on coordinate conversion and image interpolation combined with the range-Doppler(R-D)algorithm is proposed to correct the near-field distortion problem.Compared with the back-projection(BP)algorithm,the proposed method produces better focused ISAR images of the near-field target,and decreases the computation complexity significantly.Experimental results of the simulated data have demonstrated the effectiveness and robustness of the proposed method. 展开更多
关键词 inverse synthetic aperture radar(ISAR) near-field imaging image interpolation back-projection(BP)algorithm
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Evaluation and Optimization of Intersection Process Between Voxelized Mesh Models and Homocentric Spheres
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作者 柳伟 周雄辉 牛强 《Journal of Shanghai Jiaotong university(Science)》 EI 2011年第4期474-478,共5页
In the field of 3D model matching and retrieval,an effective method for feature extraction is spherical harmonic or its mutations,and is acted on the spherical images.But the obtainment of spherical images from 3D mod... In the field of 3D model matching and retrieval,an effective method for feature extraction is spherical harmonic or its mutations,and is acted on the spherical images.But the obtainment of spherical images from 3D models is very time-consuming,which greatly restrains the responding speed of such systems.In this paper, we propose a quantitative evaluation of the whole process and give a detailed two-sided analysis based on the comparative size between pixels and voxels.The experiments show that the resultant optimized parameters are fit for the practical application and exhibit a satisfactory performance. 展开更多
关键词 intersection spherical image voxelized model OPTIMIZATION
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基于可见光-近红外高光谱成像技术的文书朱墨时序检验 被引量:1
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作者 李昌盛 高树辉 《分析测试学报》 北大核心 2025年第5期781-793,共13页
刑事文书检验领域中,文字墨迹与印章印文形成时序的分析是验证文书物证真伪的关键技术。该文基于可见光-近红外高光谱成像技术(Vis-NIR HSI)图谱合一优势,结合卷积神经网络(CNN)研究了朱墨时序的判别问题。在光谱影像形态分析的基础上,... 刑事文书检验领域中,文字墨迹与印章印文形成时序的分析是验证文书物证真伪的关键技术。该文基于可见光-近红外高光谱成像技术(Vis-NIR HSI)图谱合一优势,结合卷积神经网络(CNN)研究了朱墨时序的判别问题。在光谱影像形态分析的基础上,采集了42000个不同朱墨时序样品的高光谱数据,建立朱墨时序高光谱数据集。分别使用中值滤波、Savitzky-Golay平滑滤波、多元散射校正和归一化方法对样本光谱进行预处理;采用连续投影算法(SPA)和竞争自适应重加权采样(CARS)对光谱进行特征波长选择,分别建立逻辑回归(LR)等若干二分类机器学习模型和一维卷积神经网络(1D-CNN)模型,并比较了建模效果。实验结果显示,基于CARS方法提取的光谱特征波长建立的CARS-1D-CNN模型在训练集和测试集上的准确率分别达96.98%和95.54%,表明Vis-NIR HSI与1D-CNN结合能够有效识别朱墨时序。该方法与常规检验方法相互辅助、相互验证,能够提高朱墨时序检验鉴定的准确性和效率。 展开更多
关键词 可见光-近红外高光谱成像(Vis-NIR HSI) 文件检验 朱墨时序 机器学习 1D-CNN
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双线阵相机精度靶用嵌入式图像采集与处理技术 被引量:1
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作者 张世麒 唐武科 +2 位作者 田会 李敬 开百胜 《西安工业大学学报》 2025年第1期114-122,共9页
针对现有室内双线阵相机交会精度靶系统体积大、成本高等问题,提出了采用FPGA实现图像采集与处理的方法。采用弧形反射式光源配合线阵相机,搭建图像采集硬件模块,使用verilog语言编写逻辑实现图像采集和弹丸中心像元检测,实时计算弹丸... 针对现有室内双线阵相机交会精度靶系统体积大、成本高等问题,提出了采用FPGA实现图像采集与处理的方法。采用弧形反射式光源配合线阵相机,搭建图像采集硬件模块,使用verilog语言编写逻辑实现图像采集和弹丸中心像元检测,实时计算弹丸在两台相机上的成像序号。使用设计的图像采集与处理模块进行实弹射击试验,验证了可行性。试验结果表明,文中所提方案可替换现有精度靶中安装有图像采集卡的工控机,核心部件防护面积减小20%,极大降低了硬件实现成本。实测弹丸着靶坐标测量误差不大于1.5 mm,满足工程测量要求。 展开更多
关键词 立靶密集度 双线阵相机交会测量 图像采集与处理 现场可编程门阵列(FPGA)
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长焦大倾角面阵摆扫无人机影像的位姿优化与目标定位
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作者 叶勤 靳雨佳 +1 位作者 罗俊奇 林怡 《测绘科学技术学报》 2025年第2期154-162,共9页
无人机通过长焦相机大倾角从远距离获取地面高分辨率影像,可避免平台必须直接位于目标上方的观测方式,成为获取难以到达危险目标区域信息的理想选择。但不同于常规无人机影像,长焦、大倾角面阵摆扫成像方式下获取的影像存在变形极大、... 无人机通过长焦相机大倾角从远距离获取地面高分辨率影像,可避免平台必须直接位于目标上方的观测方式,成为获取难以到达危险目标区域信息的理想选择。但不同于常规无人机影像,长焦、大倾角面阵摆扫成像方式下获取的影像存在变形极大、单个面阵视场小、重叠率很低、交会角过锐等特点,给此类影像的匹配、位姿优化、对地定位带来极大挑战。为此,需要面向长焦大倾角面阵摆扫无人机影像,研究新的影像位姿优化与目标定位方法。针对基于影像检索的目标定位,设计了抗明显视角与尺度差距的稳定特征SDS和直方图描述符实现目标的检索定位。针对影像交会定位,首先提出了顾及影像匹配点对分布均匀性改进SuperPoint网络特征提取的影像匹配方法,然后,引入局部回环优化策略设计了适应低重叠率影像的位姿优化方法,最后,提出了一种结合测区高度范围约束的新型影像对交会定位方法。在陕西省渭南市与上海市选取的两个不同特点的测区进行了实验,结果表明:1)基于影像检索的目标定位能够实现长焦大倾角影像中目标的可靠定位,较之现有SOTA方法提高了约10%的定位精度;2)基于影像对交会的目标定位较之传统直接交会定位方法,定位误差减少了约50%。 展开更多
关键词 长焦大倾角影像 影像检索 位姿优化 交会定位 高度范围约束
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Non-line-of-sight target localization in unknown L-shaped corridor based UWB MIMO radar
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作者 JIA Chao SONG Caiping +4 位作者 WANG Lingyu CUI Guolong GUO Shisheng GU Jie JIA Yong 《Journal of Systems Engineering and Electronics》 2025年第3期681-693,共13页
Most of the existing non-line-of-sight(NLOS)localization methods depend on the layout information of the scene which is difficult to be obtained in advance in the practical application scenarios.To solve the problem,a... Most of the existing non-line-of-sight(NLOS)localization methods depend on the layout information of the scene which is difficult to be obtained in advance in the practical application scenarios.To solve the problem,an NLOS target localization method in unknown L-shaped corridor based ultra-wideband(UWB)multiple-input multiple-output(MIMO)radar is proposed in this paper.Firstly,the multipath propagation model of Lshaped corridor is established.Then,the localization process is analyzed by the propagation characteristics of diffraction and reflection.Specifically,two different back-projection imaging processes are performed on the radar echo,and the positions of focus regions in the two images are extracted to generate candidate targets.Furthermore,the distances of propagation paths corresponding to each candidate target are calculated,and then the similarity between each candidate target and the target is evaluated by employing two matching factors.The locations of the targets and the width of the corridor are determined based on the matching rules.Finally,two experiments are carried out to demonstrate that the method can effectively obtain the target positions and unknown scene information even when partial paths are lost. 展开更多
关键词 non-line-of-sight(NLOS)localization unknown Lshaped corridor multiple-input multiple-output(MIMO)radar back-projection imaging multipath propagation
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现代仪器分析技术在可疑文件笔画交叉时序检验中的应用研究
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作者 吴翔 《化学研究与应用》 北大核心 2025年第11期3226-3239,共14页
可疑文件中笔画交叉形成的先后顺序是法庭科学文件检验重要内容,能为文件真伪鉴定提供重要证据。传统显微检验依赖于鉴定人经验,具有一定主观性,随着现代仪器分析技术发展,为笔画交叉时序检验提供了一种客观有效的方法。本文通过系统归... 可疑文件中笔画交叉形成的先后顺序是法庭科学文件检验重要内容,能为文件真伪鉴定提供重要证据。传统显微检验依赖于鉴定人经验,具有一定主观性,随着现代仪器分析技术发展,为笔画交叉时序检验提供了一种客观有效的方法。本文通过系统归纳现代仪器分析技术在笔画交叉时序鉴定的研究现状,分析不同仪器分析技术在该领域的优势及适用范围,为实际鉴定中涉及的笔画交叉时序提供参考方法,为完善系统鉴定、创新技术方法及提高证据强度提供理论依据与分析策略。最终使现代仪器分析技术能成为笔画交叉时序鉴定中的有效手段和技术标准,并和显微光学检验相结合,服务于实践。 展开更多
关键词 现代仪器分析技术 文件检验 笔画交叉时序检验 光谱法 光谱成像 质谱成像 荧光成像
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Content-based Image Retrieval Using Color Histogram 被引量:3
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作者 黄文蓓 贺樑 顾君忠 《Journal of Donghua University(English Edition)》 EI CAS 2006年第4期98-102,共5页
This paper introduces the principles of using color histogram to match images in CBIR. And a prototype CBIR system is designed with color matching function. A new method using 2-dimensional color histogram based on hu... This paper introduces the principles of using color histogram to match images in CBIR. And a prototype CBIR system is designed with color matching function. A new method using 2-dimensional color histogram based on hue and saturation to extract and represent color information of an image is presented. We also improve the Euclidean-distance algorithm by adding Center of Color to it. The experiment shows modifications made to Euclidean-distance signif-icantly elevate the quality and efficiency of retrieval. 展开更多
关键词 CBIR (content-based image retrieval color feature color histogram histogram intersection similarity measure.
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Analytical image reconstruction methods in emission tomography
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作者 Mahsa Noori Asl Alireza Sadremomtaz 《Journal of Biomedical Science and Engineering》 2013年第1期100-107,共8页
Data collected in two-dimensional projections give planar images of object at each projection angle. To obtain information along the depth of the object, tomographic images are reconstructed using these projections. T... Data collected in two-dimensional projections give planar images of object at each projection angle. To obtain information along the depth of the object, tomographic images are reconstructed using these projections. There are basically two approaches to solve the problem of reconstruction: analytical and iterative, each one presenting its own advantages and limitations. This paper provides a detailed introduction and comparison to four analytical image reconstruction methods including Fourier transformation, simple back-projection, back-projection filtering and filtered back-projection. 展开更多
关键词 image Reconstruction FOURIER TRANSFORM back-projection FILTERING
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基于轻量化特征选择的镜片多尺度缺陷检测系统研究 被引量:1
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作者 许桢英 杨钰峂 +3 位作者 雷英俊 王匀 武子乾 韩丽玲 《计量学报》 CSCD 北大核心 2024年第6期786-794,共9页
为解决对镜片缺陷识别和定位困难的问题,设计了一种基于轻量化特征选择(LFSN)的镜片多尺度缺陷检测系统。首先通过四步相移栅格光成像系统采集缺陷图像,基于傅里叶变换对图像进行融合以提高图像质量;然后,LFSN使用自动特征层选择结构,... 为解决对镜片缺陷识别和定位困难的问题,设计了一种基于轻量化特征选择(LFSN)的镜片多尺度缺陷检测系统。首先通过四步相移栅格光成像系统采集缺陷图像,基于傅里叶变换对图像进行融合以提高图像质量;然后,LFSN使用自动特征层选择结构,在训练过程中计算无锚框分支损失,获得最优特征层信息,更新参数,从而优化模型对不同缺陷大小信息的学习能力;还使用了深度分离可变卷积,通过双线性插值增加像素点在平面的偏移量,从而提升模型对缺陷形貌的主动学习能力,并一定程度减少模型训练参数量,降低检测时间,同时优化回归定位损失明确各阶段训练任务,利用一次惩罚项指导前期预测框中心距离回归;利用归一化二次项,指导后期预测框大小比例回归,使预测框更接近真实值;最后,通过实验采集镜片缺陷图像,并构建数据集进行对比实验。实验结果表明:识别和定位镜片的缺陷的准确率为96.3%,单幅检测时间为24.9 ms。 展开更多
关键词 光学计量 镜片 缺陷检测 栅格光成像 轻量化特征选择 混合交并比
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基于目标可见光图像的着落姿态计算方法研究 被引量:1
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作者 张荣文 裴立冠 杜鑫 《舰船电子工程》 2024年第5期197-201,共5页
针对复杂环境下威胁目标攻击场景,基于实际目标可见光图像特征,提出一种目标着落姿态计算方法。通过Roberts算子和Hough变换构建目标图像特征提取模型和目标中轴线确定模型;基于双目交会理论,确定中轴线关键点位置信息,基于三角形理论... 针对复杂环境下威胁目标攻击场景,基于实际目标可见光图像特征,提出一种目标着落姿态计算方法。通过Roberts算子和Hough变换构建目标图像特征提取模型和目标中轴线确定模型;基于双目交会理论,确定中轴线关键点位置信息,基于三角形理论建立目标姿态角求取方法。通过仿真案例分析表明,所提出的目标着落姿态计算方法可有效提取目标特征,并解算出目标着落姿态角,具备较好的光学测量图像适应性。 展开更多
关键词 威胁目标 着落姿态 可见光图像 双目交会
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基于改进U-Net和X线片的脊柱侧弯Cobb角自动测量算法研究 被引量:2
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作者 禤浚波 梁英豪 +5 位作者 梁淑慧 张绿云 胡巍 柯宝毅 马文宇 李成 《基因组学与应用生物学》 CAS CSCD 北大核心 2024年第4期708-718,共11页
脊柱侧弯是影响人类健康的疾病之一,Cobb角的准确计算是临床上确定脊柱侧弯分型和制定诊疗方案的关键。针对人工测量Cobb角存在耗时长、不够准确、效率低下等问题,本文设计了一种基于改进U-Net的脊柱侧弯Cobb角自动测量方法。由经验丰... 脊柱侧弯是影响人类健康的疾病之一,Cobb角的准确计算是临床上确定脊柱侧弯分型和制定诊疗方案的关键。针对人工测量Cobb角存在耗时长、不够准确、效率低下等问题,本文设计了一种基于改进U-Net的脊柱侧弯Cobb角自动测量方法。由经验丰富的脊柱外科医生使用LabelMe工具对200例脊柱侧弯患者的X线片数据集进行标注。采用ResNet50作为主干网络改进基本的语义分割模型U-Net,并与另外2个语义分割模型DeeplabV3和PSPNet在脊柱侧弯X线片数据集上分别进行训练。实验结果表明,改进的U-Net模型的平均交并比(mean intersection over union,MIOU)值达到了94.72%,分别比PSPNet和DeeplabV3模型的MIOU值提升了5.36%和2.30%。最后,基于改进的U-Net模型设计了脊柱侧弯Cobb角的自动测量算法,并开发了可视化的自动测量软件。经过实际测试,发现在常规的电脑上输入一张患者的X线片,只需6.3 s即可自动计算Cobb角大小,其速度远快于医生手动测量,显著提高了医生的工作效率,表明本文设计的脊柱侧弯Cobb角自动测量方法是有效的。 展开更多
关键词 脊柱侧弯 X线图像 COBB角 U-Net 交并比
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复杂交汇水域船舶航路网提取方法研究 被引量:1
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作者 卢俊璋 杨星 +3 位作者 刘克中 袁志涛 庄素婕 王伟强 《武汉理工大学学报(交通科学与工程版)》 2024年第5期1017-1022,共6页
文中提出了一种适用于复杂交汇水域船舶航路网的提取方法.采用轨迹聚类算法获取水域主要船舶交通流,通过水域栅格化将各船舶交通流转化为栅格图像,运用图像细化的原理从不同交通流中提取对应船舶航路,以距离阈值为标准识别航路之间的交... 文中提出了一种适用于复杂交汇水域船舶航路网的提取方法.采用轨迹聚类算法获取水域主要船舶交通流,通过水域栅格化将各船舶交通流转化为栅格图像,运用图像细化的原理从不同交通流中提取对应船舶航路,以距离阈值为标准识别航路之间的交汇点,最终形成水域船舶航路网.结果表明:该方法不仅可有效提取水域内主要船舶航路以及航路交汇点,还可同时获取交汇点密集区域. 展开更多
关键词 船舶交通 复杂交汇水域 轨迹聚类 栅格化 图像细化
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Rapid rupture characterization for the 2023 M_(S)6.2 Jishishan earthquake 被引量:9
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作者 Xiongwei Tang Rumeng Guo +5 位作者 Yijun Zhang Kun Dai Jianqiao Xu Jiangcun Zhou Mingqiang Hou Heping Sun 《Earthquake Research Advances》 CSCD 2024年第2期22-26,共5页
On December 18, 2023, the M_(S)6.2 Jishishan earthquake occurred in the northeastern region of the QinghaiXizang Plateau, causing heavy casualties and property damage in Gansu and Qinghai Provinces. In this study,we i... On December 18, 2023, the M_(S)6.2 Jishishan earthquake occurred in the northeastern region of the QinghaiXizang Plateau, causing heavy casualties and property damage in Gansu and Qinghai Provinces. In this study,we integrate space imaging geodesy, finite fault inversion, and back-projection methods to decipher its rupture property, including fault geometry, coseismic slip distribution, rupture direction, and propagation speed. The results reveal that the seismogenic fault dips to the southwest at an angle of 29°. The major slip asperity is dominated by reverse slip and is concentrated within a depth range of 7–16 km, which explains the significant uplift near the epicenter observed by both the Sentinel-1 ascending and descending In SAR data. Moreover, the teleseismic array waveforms indicate a northwest propagating rupture with an overall slow rupture velocity of~1.91 km/s(AK array) or 1.01 km/s(AU array). 展开更多
关键词 Jishishan earthquake Rupture property Space imaging geodesy Finite fault inversion back-projection method
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双目中子散射相机快速定位方法研究 被引量:1
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作者 侯英伟 宋玉收 +3 位作者 吴冬冬 刘鲁涛 周志波 武朝辉 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2024年第8期1632-1638,共7页
为了探究使用中子散射成像法对核材料的定位分辨率和测距精度与源项方位之间的关系,以及提高定位性能的可行方案,本文利用Geant4软件模拟了位于不同方位的Cf-252中子源成像过程。使用交点反投影成像法与双目视觉测距法进行二维成像与测... 为了探究使用中子散射成像法对核材料的定位分辨率和测距精度与源项方位之间的关系,以及提高定位性能的可行方案,本文利用Geant4软件模拟了位于不同方位的Cf-252中子源成像过程。使用交点反投影成像法与双目视觉测距法进行二维成像与测距,研究了定位误差与中子源方位之间的依赖性。研究表明:源项位置距离成像平面中心越远,成像效果越差,当改变探测系统布置时可能出现定位死区,并且通使探测器面向源项所在方向会增强成像性能。本文提出的快速定位未知位置中子源或核材料的方法及探测器布置方案有效。 展开更多
关键词 中子散射成像 交点反投影成像 双目视觉测距 核材料定位 蒙特卡罗模拟 快速定位 液闪探测器 双目对焦
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无人机遥感图像几何畸变校正全过程控制方法研究 被引量:1
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作者 赵丽斌 杜娇娇 +4 位作者 贺铮 王祝先 韩宏亮 范蕊 徐翌博 《计算机测量与控制》 2024年第7期133-139,共7页
几何畸变是一种常见的像素点突变行为,在无人机遥感图像中,像素点几何畸变行为的表现能力越强,遥感主机对无人机图像的控制能力越弱。为准确校正像素点几何畸变行为,提升遥感主机对无人机图像的控制能力,针对无人机遥感图像几何畸变校... 几何畸变是一种常见的像素点突变行为,在无人机遥感图像中,像素点几何畸变行为的表现能力越强,遥感主机对无人机图像的控制能力越弱。为准确校正像素点几何畸变行为,提升遥感主机对无人机图像的控制能力,针对无人机遥感图像几何畸变校正全过程控制方法展开研究;提取无人机遥感图像的几何描述符,并定义畸变像素点的尺度空间,完成对畸变像素点的配准处理;针对几何畸变像素点实施重采样,通过计算畸变校正参数的方式,求解校正处理函数,实现对无人机遥感图像几何畸变的校正;利用畸变校正交点,确定图像几何畸变区域的覆盖范围,再联合控制对象标定条件,完成对无人机遥感图像几何畸变校正的全过程控制;实验结果表明,所提控制方法的应用,可以避免几何畸变节点处的像素值出现明显变化的情况,畸变前后的像素差不超过5.0 pt,能够实现对无人机遥感图像中像素点几何畸变行为的精准校正,符合实际应用需求。 展开更多
关键词 无人机遥感图像 几何畸变校正 全过程控制 描述符 尺度空间 重采样 校正交点 控制对象标定
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