Compared with traditional seismic noise attenuation algorithms that depend on signal
models and their corresponding prior assumptions, removing noise with a deep neural …

Seismic noise attenuation is essential for seismic interpretation and reservoir
characterization. Recently, many researchers have applied convolutional neural network …

Leaf water content determines plant health, vitality, photosynthetic efficiency and is an
important indicator of drought assessment. The retrieval of leaf water content from the visible …

Changes in the hydrological cycle and water resources are inevitable consequences of
environmental change, and runoff is an important element of the hydrological cycle …

A curvelet is a new and effective spectral transform, that allows sparse representations of
complex data. It has many applications in several fields, including denoising, wave …

Ground-roll is a common coherent noise in land seismic records. It has a low frequency, low
velocity, and, yet, strong energy, which often conceals important information about …

Signals obtained in land seismic surveys are usually contaminated with coherent noise,
among which the ground roll (Rayleigh surface waves) is of major concern for it can severely …

Wavelet analysis is combined with the Karhunen–Loève (KL) transform into an innovative
hybrid method for locally filtering coherent noise. In applying our method, the original time …

面波是陆上地震勘探中的主要干扰波之一, 常规的面波压制方法仅从面波与反射信号在某一方面
的差异进行压制, 会在一定程度上造成有效信号的损伤. 利用不同尺度面波与有效信号的差异 …

Migration is used to collapse “diffractions,” ie, to focus hyperbolic events that appear in the
space-time of a seismic profile—into spots of finite area in the image space. These usually …