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
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
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.
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。
