Direct seismic waveform classification and first-break picking based on fully convolutional networks from shot gathers with missing traces
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[1] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[2] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[3] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[4] Ning Zhang,et al. Deep-learning-based seismic data interpolation: A preliminary result , 2019, GEOPHYSICS.
[5] Guangmin Hu,et al. Unsupervised seismic facies analysis via deep convolutional autoencoders , 2018 .
[6] Tomaso Poggio,et al. Automated fault detection without seismic processing , 2017 .
[7] Jiwei Liu,et al. Seismic Waveform Classification and First-Break Picking Using Convolution Neural Networks , 2018, IEEE Geoscience and Remote Sensing Letters.
[8] Kristy F. Tiampo,et al. Surface uplift and time-dependent seismic hazard due to fluid injection in eastern Texas , 2015, Science.
[9] Guanchao Wang,et al. Impedance inversion by using the low-frequency full-waveform inversion result as an a priori model , 2019, GEOPHYSICS.
[10] Michel Campillo,et al. High-Resolution Surface-Wave Tomography from Ambient Seismic Noise , 2005, Science.