High-quality seismic data are the basis for stratigraphic imaging and interpretation, but the
existence of random noise can greatly affect the quality of seismic data. At present, most …

The importance of low-frequency seismic data has been already recognized by
geophysicists. However, there are still a number of obstacles that must be overcome for …

Nitrogen (N) content is an important basis for the precise management of wheat fields. The
application of unmanned aerial vehicles (UAVs) in agriculture provides an easier and faster …

Well logging is an essential approach to make geophysical surveys and petrophysical
measurements. It plays a key role in interpreting downhole conditions. But, well logging …

We consider the three-dimensional (3-D) seismic data as a tensor data of size n 1× n 2× n 3
contaminated with the white Gaussian noise. A new version of the tensor robust principal …

Suppressing random noise in seismic data is a significant problem in seismic data
processing. Often, there is serious aliasing between the effective signal and random noise …

Seismic random noise reduction is an indispensable step in seismic data processing. Due to
complex geological condition and acquisition environment, random noise in the desert …

Distributed acoustic sensing (DAS) technology is a novel technology applied in vertical
seismic profile (VSP) exploration, which has many advantages, such as low cost, high …

Time–frequency analysis technology is widely used in non-stationary seismic data analysis.
The energy concentration of the spectrum depends on the consistency of the kernel function …

Distributed fiber-optical acoustic sensing (DAS) is an emerging technology, which uses
optical fiber as a sensor for signal acquisition and recently has been applied to seismic …