The mean Hausdorff distance, though highly applicable in image registration, does not work well on partial matching images. An improvement upon traditional Hausdorff-distance-based image registration method is propose...The mean Hausdorff distance, though highly applicable in image registration, does not work well on partial matching images. An improvement upon traditional Hausdorff-distance-based image registration method is proposed, which consists of the following two aspects. One is to estimate transformation parameters between two images from the distributions of geometric property differences instead of establishing explicit feature correspondences. This procedure is treated as the pre-registration. The other aspect is that mean Hausdorff distance computation is replaced with the analysis of the second difference of generalized Hausdorff distance so as to eliminate the redundant points. Experimental results show that our registration method outperforms the method based on mean Hausdorff distance. The registration errors are noticeably reduced in the partial matching images.展开更多
During seismic data acquisition, a high-sensitivity geophone with a high inherent frequency can increase high frequency energy by suppressing low frequency signals. This could cause a worse response at low frequencies...During seismic data acquisition, a high-sensitivity geophone with a high inherent frequency can increase high frequency energy by suppressing low frequency signals. This could cause a worse response at low frequencies. If the advantages of high-sensitivity data and conventional data are combined, the effective bandwidth will be broadened. Considering this, we propose a partial frequency band match filtering method which can combine the advantages of both high frequency and conventional frequency ranges. By introducing Ricker wavelets with different dominant frequencies and amplitudes, we established a theoretical model which possesses characteristics of both types of seismic data and demonstrates the feasibility of the partial frequency band match filtering method. A test using single shot records shows the effectiveness of this method for widening the effective frequency band.展开更多
This study gives an analytical solution for wave interaction with a partially reflecting vertical wall protected by a submerged porous bar based on linear potential theory. The whole study domain is divided into multi...This study gives an analytical solution for wave interaction with a partially reflecting vertical wall protected by a submerged porous bar based on linear potential theory. The whole study domain is divided into multiple sub-regions in relation to the structures. The velocity potential in each sub-region is written as a series solution by the separation of variables. A partially reflecting boundary condition is used to describe the partial reflection of a vertical wall. Unknown expansion coefficients in the series solutions are determined by matching velocity potentials among different sub-regions. The analytical solution is verified by an independently developed multi-domain boundary element method(BEM) solution and experimental data. The wave run-up and wave force on the partially reflecting vertical wall are estimated and examined, which can be effectively reduced by the submerged porous bar. The horizontal space between the vertical wall and the submerged porous bar is a key factor, which affects the sheltering function of the porous bar. The wave resonance between the porous bar and the vertical wall may disappear when the vertical wall has a low reflection coefficient. The present analytical solution may be used to determine the optimum parameters of structures at a preliminary engineering design stage.展开更多
针对行人被障碍物部分遮挡导致的检测准确率降低问题,提出了基于多特征融合的树形路径半全局立体匹配的部分遮挡行人检测算法。使用简单线性迭代聚类(simple linear iterative clustering,SLIC)算法进行超像素分割,提升行人的轮廓信息,...针对行人被障碍物部分遮挡导致的检测准确率降低问题,提出了基于多特征融合的树形路径半全局立体匹配的部分遮挡行人检测算法。使用简单线性迭代聚类(simple linear iterative clustering,SLIC)算法进行超像素分割,提升行人的轮廓信息,并使用多特征融合的树形路径半全局立体匹配算法生成深度图;对行人信息和背景信息及障碍物信息使用自适应分割算法进行分离,获取感兴趣区域;将感兴趣区域放置在行人特征明显且稳定的头肩部,进行感兴趣区域的约束;使用降维梯度直方图特征(histogram of gradient,HOG)进行特征提取并生成样本集,训练支持向量机(support vector machines,SVM)分类器,最终实现部分遮挡的行人检测。实验表明,所提算法与其他行人检测算法相比,在行人部分遮挡场景下,有着更高的行人检测准确率,证明所提算法的有效性。展开更多
针对微弱信号环境卫星导航定位系统信号捕获概率低的问题,提出多个码元累积提高信噪比的捕获算法.该算法以部分匹配滤波器结合快速傅里叶变换相干累积(Partial Matched Filtering based on Fast Fourier Transform,PMF-FFT)单元为基础,...针对微弱信号环境卫星导航定位系统信号捕获概率低的问题,提出多个码元累积提高信噪比的捕获算法.该算法以部分匹配滤波器结合快速傅里叶变换相干累积(Partial Matched Filtering based on Fast Fourier Transform,PMF-FFT)单元为基础,通过复用实现多码元相干累积和非相干累积,获得了更长的码相干时间和更大的非相干累积增益,提高了捕获灵敏度,缩短了捕获时间,提高了抗干扰能力.仿真结果表明,该算法能明显提高系统捕获性能,在相同信噪比条件下,较普通PMF-FFT算法在捕获概率上提高约4dB,可应用于我国北斗二代卫星导航系统.展开更多
基金Project(61070090)supported by the National Natural Science Foundation of ChinaProject(2012J4300030)supported by the GuangzhouScience and Technology Support Key Projects,China
文摘The mean Hausdorff distance, though highly applicable in image registration, does not work well on partial matching images. An improvement upon traditional Hausdorff-distance-based image registration method is proposed, which consists of the following two aspects. One is to estimate transformation parameters between two images from the distributions of geometric property differences instead of establishing explicit feature correspondences. This procedure is treated as the pre-registration. The other aspect is that mean Hausdorff distance computation is replaced with the analysis of the second difference of generalized Hausdorff distance so as to eliminate the redundant points. Experimental results show that our registration method outperforms the method based on mean Hausdorff distance. The registration errors are noticeably reduced in the partial matching images.
基金financially supported by the National Natural Science Foundation of China(No.41104072)College Students Science and Technology Innovation Activity Plan in Zhejiang Province(No. 2012R401214)
文摘During seismic data acquisition, a high-sensitivity geophone with a high inherent frequency can increase high frequency energy by suppressing low frequency signals. This could cause a worse response at low frequencies. If the advantages of high-sensitivity data and conventional data are combined, the effective bandwidth will be broadened. Considering this, we propose a partial frequency band match filtering method which can combine the advantages of both high frequency and conventional frequency ranges. By introducing Ricker wavelets with different dominant frequencies and amplitudes, we established a theoretical model which possesses characteristics of both types of seismic data and demonstrates the feasibility of the partial frequency band match filtering method. A test using single shot records shows the effectiveness of this method for widening the effective frequency band.
基金supported by the National Natural Science Foundation of China (Project Nos.51322903 and 51279224)the Program for New Century Excellent University Talents in University (NCET-13-0528)
文摘This study gives an analytical solution for wave interaction with a partially reflecting vertical wall protected by a submerged porous bar based on linear potential theory. The whole study domain is divided into multiple sub-regions in relation to the structures. The velocity potential in each sub-region is written as a series solution by the separation of variables. A partially reflecting boundary condition is used to describe the partial reflection of a vertical wall. Unknown expansion coefficients in the series solutions are determined by matching velocity potentials among different sub-regions. The analytical solution is verified by an independently developed multi-domain boundary element method(BEM) solution and experimental data. The wave run-up and wave force on the partially reflecting vertical wall are estimated and examined, which can be effectively reduced by the submerged porous bar. The horizontal space between the vertical wall and the submerged porous bar is a key factor, which affects the sheltering function of the porous bar. The wave resonance between the porous bar and the vertical wall may disappear when the vertical wall has a low reflection coefficient. The present analytical solution may be used to determine the optimum parameters of structures at a preliminary engineering design stage.
文摘针对行人被障碍物部分遮挡导致的检测准确率降低问题,提出了基于多特征融合的树形路径半全局立体匹配的部分遮挡行人检测算法。使用简单线性迭代聚类(simple linear iterative clustering,SLIC)算法进行超像素分割,提升行人的轮廓信息,并使用多特征融合的树形路径半全局立体匹配算法生成深度图;对行人信息和背景信息及障碍物信息使用自适应分割算法进行分离,获取感兴趣区域;将感兴趣区域放置在行人特征明显且稳定的头肩部,进行感兴趣区域的约束;使用降维梯度直方图特征(histogram of gradient,HOG)进行特征提取并生成样本集,训练支持向量机(support vector machines,SVM)分类器,最终实现部分遮挡的行人检测。实验表明,所提算法与其他行人检测算法相比,在行人部分遮挡场景下,有着更高的行人检测准确率,证明所提算法的有效性。
文摘针对微弱信号环境卫星导航定位系统信号捕获概率低的问题,提出多个码元累积提高信噪比的捕获算法.该算法以部分匹配滤波器结合快速傅里叶变换相干累积(Partial Matched Filtering based on Fast Fourier Transform,PMF-FFT)单元为基础,通过复用实现多码元相干累积和非相干累积,获得了更长的码相干时间和更大的非相干累积增益,提高了捕获灵敏度,缩短了捕获时间,提高了抗干扰能力.仿真结果表明,该算法能明显提高系统捕获性能,在相同信噪比条件下,较普通PMF-FFT算法在捕获概率上提高约4dB,可应用于我国北斗二代卫星导航系统.
