The curvelet transform J Ma, G Plonka IEEE signal processing magazine 27 (2), 118-133, 2010 | 655* | 2010 |
Deep-learning inversion: A next-generation seismic velocity model building method F Yang, J Ma Geophysics 84 (4), R583-R599, 2019 | 464 | 2019 |
Deep learning for denoising S Yu, J Ma, W Wang Geophysics 84 (6), V333-V350, 2019 | 328 | 2019 |
Deep learning for geophysics: Current and future trends S Yu, J Ma Reviews of Geophysics 59 (3), e2021RG000742, 2021 | 308 | 2021 |
What can machine learning do for seismic data processing? An interpolation application Y Jia, J Ma Geophysics 82 (3), V163-V177, 2017 | 238 | 2017 |
Double-sparsity dictionary for seismic noise attenuation Y Chen, J Ma, S Fomel Geophysics 81 (2), V103-V116, 2016 | 237 | 2016 |
Simultaneous dictionary learning and denoising for seismic data S Beckouche, J Ma Geophysics 79 (3), A27-A31, 2014 | 220 | 2014 |
Combined curvelet shrinkage and nonlinear anisotropic diffusion J Ma, G Plonka IEEE Transactions on Image processing 16 (9), 2198-2206, 2007 | 216 | 2007 |
Single-pixel remote sensing J Ma IEEE Geoscience and Remote Sensing Letters 6 (2), 199-203, 2009 | 193 | 2009 |
Deblurring from highly incomplete measurements for remote sensing J Ma, FX Le Dimet IEEE transactions on geoscience and remote sensing 47 (3), 792-802, 2009 | 179 | 2009 |
Three-dimensional irregular seismic data reconstruction via low-rank matrix completion J Ma Geophysics 78 (5), V181-V192, 2013 | 178 | 2013 |
Interpolation and denoising of high-dimensional seismic data by learning a tight frame S Yu, J Ma, X Zhang, MD Sacchi Geophysics 80 (5), V119-V132, 2015 | 159* | 2015 |
Comparisons of wavelets, contourlets and curvelets in seismic denoising H Shan, J Ma, H Yang Journal of Applied Geophysics 69 (2), 103-115, 2009 | 134 | 2009 |
Seismic data restoration via data-driven tight frame J Liang, J Ma, X Zhang Geophysics 79 (3), V65-V74, 2014 | 117 | 2014 |
Curvelet-wavelet regularized split Bregman iteration for compressed sensing G Plonka, J Ma International Journal of Wavelets, Multiresolution and Information …, 2011 | 114 | 2011 |
Improved iterative curvelet thresholding for compressed sensing and measurement J Ma IEEE Transactions on Instrumentation and Measurement 60 (1), 126-136, 2010 | 109 | 2010 |
Nonlinear regularized reaction-diffusion filters for denoising of images with textures G Plonka, J Ma IEEE Transactions on Image processing 17 (8), 1283-1294, 2008 | 106 | 2008 |
Applications of compressed sensing for SAR moving-target velocity estimation and image compression AS Khwaja, J Ma IEEE Transactions on Instrumentation and Measurement 60 (8), 2848-2860, 2011 | 98 | 2011 |
Seismic data reconstruction via matrix completion Y Yang, J Ma, S Osher Inverse Problems and Imaging 7 (4), 1379-1392, 2013 | 95 | 2013 |
Can learning from natural image denoising be used for seismic data interpolation? H Zhang, X Yang, J Ma Geophysics 85 (4), WA115-WA136, 2020 | 94 | 2020 |