169 citations · 199 across the 6 of their papers we have counts for
6 papers
Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder
Feng Qian, Yuehua Yue, Yu He +4
Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression pro…
Multidimensional Data Tensor Sensing for RF Tomographic Imaging
Tao Deng, Xiao-Yang Liu, Feng Qian +1
Radio-frequency (RF) tomographic imaging is a promising technique for inferring multi-dimensional physical space by processing RF signals traversed across a region of interest. How…
Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization
Chenxiao Zhu, Lingqing Xu, Xiao-Yang Liu +1
Localization technology is important for the development of indoor location-based services (LBS). Global Positioning System (GPS) becomes invalid in indoor environments due to the…
3D seismic data denoising using two-dimensional sparse coding scheme
Ming-Jun Su, Jingbo Chang, Feng Qian +2
Seismic data denoising is vital to geophysical applications and the transform-based function method is one of the most widely used techniques. However, it is challenging to design…
Seismic facies recognition based on prestack data using deep convolutional autoencoder
Feng Qian, Miao Yin, Ming-Jun Su +2
Prestack seismic data carries much useful information that can help us find more complex atypical reservoirs. Therefore, we are increasingly inclined to use prestack seismic data f…
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm
Feng Qian, Quan Chen, Ming-Jun Su +2
Data missing is an common issue in seismic data, and many methods have been proposed to solve it. In this paper, we present the low-tubal-rank tensor model and a novel tensor compl…