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NTIS 바로가기IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, v.59 no.8, 2021년, pp.7062 - 7075
Wang, Hongzhou (Jilin University, College of Communication Engineering, Changchun, China) , Li, Yue (Jilin University, College of Communication Engineering, Changchun, China) , Dong, Xintong (Jilin University, College of Communication Engineering, Changchun, China)
Seismic exploration is a kind of exploration method for oil and gas resources. However, the disturbance of numerous random noise will decrease the quality and signal-to-noise ratio (SNR) of real seismic records, which brings difficulties to the following works of processing and interpretation. The s...
Kumar, Eepuri Kiran, Kishore, P. V. V., Kumar, Maddala Teja Kiran, Kumar, Dande Anil, Sastry, A. S. C. S.. Three-Dimensional Sign Language Recognition With Angular Velocity Maps and Connived Feature ResNet. IEEE signal processing letters, vol.25, no.12, 1860-1864.
LeCun, Y., Bottou, L., Orr, G.B., Muller, K.-R.. Efficient BackProp. Lecture notes in computer science, vol.7700, 9-48.
arXiv 1701 07875 Wasserstein GAN arjovsky 2017
Proc Adv Neural Inf Process Syst Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections mao 2016 2802
Proc 3rd Int Conf Learn Represent Adam: A method for stochastic optimization kingma 2015
Proc ICML Rectified linear units improve restricted Boltzmann machines nair 2010 1
ArXiv 1603 07285 A guide to convolution arithmetic for deep learning vincent 2016
Proc Adv Neural Inf Process Syst Improved training of Wasserstein GANs gulrajani 2017 5767
Harris, P.E., White, R.E.. Improving the performance of f-x prediction filtering at low signal‐to‐noise ratios. Geophysical prospecting, vol.45, no.2, 269-302.
Eckle, Konstantin, Schmidt-Hieber, Johannes. A comparison of deep networks with ReLU activation function and linear spline-type methods. Neural networks : the official journal of the International Neural Network Society, vol.110, 232-242.
Chen, Ke, Sacchi, Mauricio D.. Robust f‐x projection filtering for simultaneous random and erratic seismic noise attenuation. Geophysical prospecting, vol.65, no.3, 650-668.
Cao, Siyuan, Chen, Xiangpeng. The second-generation wavelet transform and its application in denoising of seismic data. Applied geophysics = 應用地球物理. 英文版, vol.2, no.2, 70-74.
Gómez, Julián L., Velis, Danilo R.. A simple method inspired by empirical mode decomposition for denoising seismic data. Geophysics, vol.81, no.6, V403-V413.
Han, Jiajun, van der Baan, Mirko. Microseismic and seismic denoising via ensemble empirical mode decomposition and adaptive thresholding. Geophysics, vol.80, no.6, KS69-KS80.
Mingjun Xiong, Yue Li, Ning Wu. Random-Noise Attenuation for Seismic Data by Local Parallel Radial-Trace TFPF. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.52, no.7, 4025-4031.
Xinhuan Deng, Haitao Ma, Yue Li, Qian Zeng, Guanghai Zhuang. Spatiotemporal Adaptive Time–Frequency Peak Filtering for Seismic Random Noise Attenuation. IEEE geoscience and remote sensing letters : a publication of the IEEE Geoscience and Remote Sensing Society, vol.12, no.10, 2105-2109.
Liang, Xiaoqiang, Li, Yue, Zhang, Chao. Noise suppression for microseismic data by non‐subsampled shearlet transform based on singular value decomposition. Geophysical prospecting, vol.66, no.5, 894-903.
Schuld, Maria, Sinayskiy, Ilya, Petruccione, Francesco. An introduction to quantum machine learning. Contemporary physics, vol.56, no.2, 172-185.
IEEE Geosci Remote Sens Lett Deep residual encoder-decoder networks for desert seismic noise suppression ma 2019 10.1109/LGRS.2019.2925062 17 529
Aghayan, Afshin, Jaiswal, Priyank, Siahkoohi, Hamid Reza. Seismic denoising using the redundant lifting scheme. Geophysics, vol.81, no.3, V249-V260.
Dong, X T, Li, Y, Yang, B J. Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic. Geophysical journal international, vol.219, no.2, 1281-1299.
Ma, Haitao, Yan, Jie, Li, Yue, Zhang, Chao, Lin, Hongbo. Desert seismic random noise reduction based on LDA effective signal detection. Acta Geophysica, vol.67, no.1, 109-121.
Zhong, Tie, Zhang, Shuo, Li, Yue, Yang, Baojun. Simulation of seismic-prospecting random noise in the desert by a Brownian-motion-based parametric modeling algorithm. Comptes rendus. Geoscience, vol.351, no.1, 10-16.
Proc Adv Neural Process Syst Generative adversarial nets goodfellow 2014 2672
Dong, Xintong, Li, Yue, Wu, Ning, Tian, Yanan, Yu, Pengjun. The S-STK/LTK algorithm for arrival time picking of microseismic signals. Journal of Geophysics and Engineering, vol.15, no.4, 1484-1491.
Zhong, Tie, Li, Yue, Wu, Ning, Nie, Pengfei, Yang, Baojun. A study on the stationarity and Gaussianity of the background noise in land-seismic prospecting. Geophysics, vol.80, no.4, V67-V82.
Guanghui Li, Yue Li, Baojun Yang. Seismic Exploration Random Noise on Land: Modeling and Application to Noise Suppression. IEEE transactions on geoscience and remote sensing : a publication of the IEEE Geoscience and Remote Sensing Society, vol.55, no.8, 4668-4681.
Dong, Xintong, Jiang, Hong, Zheng, Sheng, Li, Yue, Yang, Baojun. Signal-to-noise ratio enhancement for 3C downhole microseismic data based on the 3D shearlet transform and improved back-propagation neural networks. Geophysics, vol.84, no.4, V245-V254.
Ma, Haitao, Qian, Zebin, Li, Yue, Lin, Hongbo, Shao, Dan, Yang, Baojun. Noise reduction for desert seismic data using spectral kurtosis adaptive bandpass filter. Acta Geophysica, vol.67, no.1, 123-131.
IEEE Trans Geosci Remote Sens Applications of the trace transform in surface wave attenuation on seismic records wu 2011 10.1109/TGRS.2011.2156417 49 4997
Shelhamer, Evan, Long, Jonathan, Darrell, Trevor. Fully Convolutional Networks for Semantic Segmentation. IEEE transactions on pattern analysis and machine intelligence, vol.39, no.4, 640-651.
Liu, Wei, Lee, Joonwhoan. An Efficient Residual Learning Neural Network for Hyperspectral Image Superresolution. IEEE journal of selected topics in applied earth observations and remote sensing, vol.12, no.4, 1240-1253.
Tirer, Tom, Giryes, Raja. Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning. IEEE signal processing letters, vol.26, no.7, 1080-1084.
Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo, Shuicheng Yan. Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol.26, no.12, 5895-5907.
J Adv Res Dyn Control Syst Applications of three layer CNN in image processing patro 2018 2018 510
Proc Workshop Math Geophys Ground roll attenuation based on conditional and cycle generative adversarial networks si 2020 95
Yuan, Yijun, Si, Xu, Zheng, Yue. Ground-roll attenuation using generative adversarial networks. Geophysics, vol.85, no.4, WA255-WA267.
arXiv 1409 1556 Very deep convolutional networks for large-scale image recognition simonyan 2014
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