炮检距向量片(offset vector tile,OVT)是一种新颖的叠前数据编排方式,当地震数据分选到OVT域后,地震资料的各种属性特征表现得更加明显,充分利用这些特征,可以改善噪声压制、振幅均衡、数据规则化等各种处理过程的效果。OVT道集偏移后...炮检距向量片(offset vector tile,OVT)是一种新颖的叠前数据编排方式,当地震数据分选到OVT域后,地震资料的各种属性特征表现得更加明显,充分利用这些特征,可以改善噪声压制、振幅均衡、数据规则化等各种处理过程的效果。OVT道集偏移后的CRP道集(CRP gather after OVT migration,OVG)含有方位各向异性信息,同相轴随观测方位的变化而明显起伏,典型表现形式是"蜗牛道",可以用于方位各向异性研究。采用非刚性匹配(non-rigid matching,NRM)技术能有效校平"蜗牛道",改善成像效果,提高AVO分析精度。实际的宽方位资料处理结果表明,经过OVT域预处理和道集校平,其处理成果可以分析振幅随倾角和方位角的变化(amplitude versus angle and azimuth,AVAZ),进行分方位裂缝预测。OVT域处理是宽方位三维地震资料的一种有效的处理方法。展开更多
Non-rigid point matching has received more and more attention.Recently,many works have been developed to discover global relationships in the point set which is treated as an instance of a joint distribution.However,t...Non-rigid point matching has received more and more attention.Recently,many works have been developed to discover global relationships in the point set which is treated as an instance of a joint distribution.However,the local relationship among neighboring points is more effective under non-rigid transformations.Thus,a new algorithm taking advantage of shape context and relaxation labeling technique,called SC-RL,is proposed for non-rigid point matching.It is a strategy that joints estimation for correspondences as well as the transformation.In this work,correspondence assignment is treated as a soft-assign process in which the matching probability is updated by relaxation labeling technique with a newly defined compatibility coefficient.The compatibility coefficient is one or zero depending on whether neighboring points preserving their relative position in a local coordinate system.The comparative analysis has been performed against four state-of-the-art algorithms including SC,ICP,TPS-RPM and RPM-LNS,and the results denote that SC-RL performs better in the presence of deformations,outliers and noise.展开更多
In 3D models retrieval, feature description and retrieval of non-rigid model face more complex problems due to the isometry transformation of itself. We introduce the hierarchical combination matching into the feature...In 3D models retrieval, feature description and retrieval of non-rigid model face more complex problems due to the isometry transformation of itself. We introduce the hierarchical combination matching into the feature comparison, and build a map between the divided regions of two models, and then achieve accurate feature matching based on patch-by-patch, which successfully introduces the spatial information into feature matching. Verified by experiment, the 3D model retrieval method proposed in this paper based on hierarchical combination matching can make sure more accurate feature matching, so as to enhance the precision of retrieval.展开更多
文摘炮检距向量片(offset vector tile,OVT)是一种新颖的叠前数据编排方式,当地震数据分选到OVT域后,地震资料的各种属性特征表现得更加明显,充分利用这些特征,可以改善噪声压制、振幅均衡、数据规则化等各种处理过程的效果。OVT道集偏移后的CRP道集(CRP gather after OVT migration,OVG)含有方位各向异性信息,同相轴随观测方位的变化而明显起伏,典型表现形式是"蜗牛道",可以用于方位各向异性研究。采用非刚性匹配(non-rigid matching,NRM)技术能有效校平"蜗牛道",改善成像效果,提高AVO分析精度。实际的宽方位资料处理结果表明,经过OVT域预处理和道集校平,其处理成果可以分析振幅随倾角和方位角的变化(amplitude versus angle and azimuth,AVAZ),进行分方位裂缝预测。OVT域处理是宽方位三维地震资料的一种有效的处理方法。
基金Project(61002022)supported by the National Natural Science Foundation of ChinaProject(2012M512168)supported by China Postdoctoral Science Foundation
文摘Non-rigid point matching has received more and more attention.Recently,many works have been developed to discover global relationships in the point set which is treated as an instance of a joint distribution.However,the local relationship among neighboring points is more effective under non-rigid transformations.Thus,a new algorithm taking advantage of shape context and relaxation labeling technique,called SC-RL,is proposed for non-rigid point matching.It is a strategy that joints estimation for correspondences as well as the transformation.In this work,correspondence assignment is treated as a soft-assign process in which the matching probability is updated by relaxation labeling technique with a newly defined compatibility coefficient.The compatibility coefficient is one or zero depending on whether neighboring points preserving their relative position in a local coordinate system.The comparative analysis has been performed against four state-of-the-art algorithms including SC,ICP,TPS-RPM and RPM-LNS,and the results denote that SC-RL performs better in the presence of deformations,outliers and noise.
基金Supported by National Nature Science Foundation of China(61379106,61379082,61227802)Shandong Provincial Natural Science Foundation(ZR2013FM036,ZR2015FM011,ZR2015FM022)
文摘In 3D models retrieval, feature description and retrieval of non-rigid model face more complex problems due to the isometry transformation of itself. We introduce the hierarchical combination matching into the feature comparison, and build a map between the divided regions of two models, and then achieve accurate feature matching based on patch-by-patch, which successfully introduces the spatial information into feature matching. Verified by experiment, the 3D model retrieval method proposed in this paper based on hierarchical combination matching can make sure more accurate feature matching, so as to enhance the precision of retrieval.
