基于压缩感知和Contourlet变换的地震数据重建方法OA北大核心CSCDCSTPCD
Seismic data reconstruction based on compressed sensing and Contourlet transform
基于压缩感知技术的地震数据字典重建算法在训练字典时耗时较长,基于压缩感知技术的稀疏变换重建算法对稀疏基的要求较高,权衡信噪比和时间,采用目前已应用于地震数据重建的Contourlet稀疏基,提出了一种基于压缩感知技术和Contourlet变换的地震数据重建方法.首先根据设计的测量矩阵,在Contourlet域中采用快速迭代收缩阈值算法(Fast Iterative Shrinkage-Thresholding Algorithm,FISTA)重建…查看全部>>
Training a dictionary is time-consuming when using a standard algorithm for the reconstruction of dictionary learning based on compressed sensing.The algorithm for the reconstruction of sparse transforms based on compressed sensing is also problematic,as it has high requirements for sparse basis.Therefore,weighing the signal-to-noise ratio (SNR) and time consumption,introducing the Contourlet sparse basis which could be used in seismic data reconstruction,th…查看全部>>
张良;韩立国;刘争光;李宇
吉林大学地球探测科学与技术学院,吉林长春130026吉林大学地球探测科学与技术学院,吉林长春130026吉林大学地球探测科学与技术学院,吉林长春130026吉林大学地球探测科学与技术学院,吉林长春130026
天文与地球科学
压缩感知Contourlet变换测量矩阵地震数据重建快速迭代收缩阈值
compressed sensingContourlet transformmeasurement matrixseismic data reconstructionfast iterative shrinkage-thresholding
《石油物探》 2017 (6)
基于地震干涉法的波场重构及成像方法研究
804-811,8
国家自然科学基金项目(41304086)资助.This research is financially supported by the Natural Science Foundation of China (Grant No.41304086).
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