The industry treats the distributed acoustic sensing (DAS) system, which uses an optical fiber cable in vertical seismic profiling (VSP) data acquisition, as a new and fast-growing technology. high-quality set acquired from DAS acquisition system can produce high-precision VSP images obtain more detailed checkshots. However, field data, suffers strong coherent coupling noise. Many factors may cause noise, such slapping ringing due to physical placement, regular swing of wireline well,...

The emergence of virtual reality technology enriches people's entertainment life. In the world, we can have a full immersion sensory experience in shopping, traveling, playing games and watching movies. However, just same as many other human-computer interaction technologies, use also leads to various issues security privacy, further brings ethical issues, which are derived from process between users devices. It has not yet been extensively examined. aim this paper is focus on ethics...

Video object segmentation (VOS) aims to distinguish and track target objects in a video. Despite the excellent performance achieved by off-the-shell VOS models, existing benchmarks mainly focus on short-term videos lasting about 5 seconds, where remain visible most of time. However, these poorly represent practical applications, absence long-term datasets restricts further investigation realistic scenarios. Thus, we propose novel benchmark named LVOS, comprising 720 with 296,401 frames...

The distributed acoustic sensing (DAS) system, which uses an optical fiber cable in vertical seismic profiling (VSP) data acquisition, has been launched as one promising technology. acquired high quality from DAS can produce high-precision VSP images, obtain more detailed check shots. Compared with common the cost of repeated acquisition is much lower. However, suffers strong coherent noise caused by physical placement wireline well. In this work, we analyze morphological characteristics...

The self-organizing map (SOM) is a well-known unsupervised classification method for seismic facies analysis. conventional SOM networks and their mutation methods are mostly based on the Euclidean distance measurement, which estimates global similarity between input data weights of neuron. Such measurement suitable signals with Gaussian distribution but may not work well dominant structural features (e.g., stratigraphic layers, faults, channels, salt bodies) typically appear some specially...

Using data from wind towers during typhoons Hagupit and Nuri, drag coefficient was estimated. The relationship between atmospheric stability examined. results indicate that the decreased when atmosphere changed weakly stable or unstable to neutral. Relationship speed also examined, relationships were similar other researchers’ result, but thresholds different due observation sites. Quantitative expressions derived.

The conventional octree construction method is implemented iteratively at consecutive subdivision levels. resultant models different levels contain quite octant compositions, so the system performance, in terms of model accuracy, memory space and time, changes widely with level number. Since big performance gap not desirable for practical application, new methods must have a finer control over performance. In paper proposed using types octants. Interesting properties computer simulations are...

Channels are important exploratory objectives in reflection seismology. Geologic bodies such as channels and point bar produce the laterally-inhomogeneous geological body (LGB) waveform response seismic sections. Due to limitation of signal's resolution, it always makes detailed interpretation challenging when seriously affected by signals overlying strata or underlying strata. We propose a method based on convolutional neural networks (CNN) extract LGB from raw dataset. divide data volume...

2D plus depth is the most convenient way of representing 3D content. Unlike traditional methods map generation which recovers precise geometry from multiple images, this paper presents an example-based method for automatically creating a layered single photograph. In our method, background matching used to identify closest and segment foreground. Then, we do foreground objects detection project these into perspective using their location. end, provide thorough quantitative result algorithm...

A desirable property when dealing with frames is that the low and up bounds of should be close to each other. This can accelerate convergence speed in computing dual-frame simplify process recovering signal from its frame coefficients. In this letter, a new 2-D continuous wavelet transform tiling scheme, which uses different rotation factor sampling methods for scales, proposed. The upper/lower bound family based on scheme derived. Morlet estimated, results show provide higher lower upper...

The forecasting of Multivariate Time Series (MTS) has long been an important but challenging task. Due to the non-stationary problem across long-distance time steps, previous studies primarily adopt stationarization method attenuate original series for better predictability. However, existing methods always stationarized series, which ignores inherent non-stationarity, and difficulty in modeling MTS with complex distributions due lack stochasticity. To tackle these problems, we first develop...

Image generation models have encountered challenges related to scalability and quadratic complexity, primarily due the reliance on Transformer-based backbones. In this study, we introduce MaskMamba, a novel hybrid model that combines Mamba Transformer architectures, utilizing Masked Modeling for non-autoregressive image synthesis. We meticulously redesign bidirectional architecture by implementing two key modifications: (1) replacing causal convolutions with standard better capture global...

The distributed acoustic sensing (DAS) system deploys standard optical fiber cable along the well, which can produce high-precision VSP images, and implement functions in typical applications, such as checkshots, imaging time-lapse reservoir monitoring. However, acquired dataset may suffer from strong coherent noise, is mainly caused by physical placement swing of wireline well. This noise reverberate uncoupled area Since morphological component analysis (MCA) separate different components...

Stereoscopic content analysis tools are needed in 3D movie production to create exciting effects while maintaining the visual comfort of viewers. Working practices show that behavior human perception plays an important rule for determining degree a content. In this paper, we propose perceptual based methods stereoscopic analysis. A modified random walk framework is proposed dense disparity map estimation. static analyzer useful distinguishing blurred objects from clear ones used analyzing...

The VSP (Vertical Seismic Profiling) data acquired from the DAS (Distributed Acoustic Sensing) system has wide application in field of mapping, formation testing and so on. However, suffers strong coherent noise such as cable slapping ringing due to physical placement wireline well. A novel method based on sparse optimization is a useful suppress harmonic noise. when processing whole same work area, if we do not consider intensity different trace, may coupling completely or damage signal...

In seismic texture interpretation, the traditional extraction based on voxel co-occurrence matrix is effective in recognizing features, reservior characterization and prediction. However, since that data limited by signal resolution, strata lateral heterogeneity such as channels waveform signals are seriously affected strong reflection of overlying or underlying strata. That is, background noise interference original signal, which affects estimation reservoir features. This paper uses an...

The VSP (Vertical Seismic Profiling) data acquired from the DAS (Distributed Acoustic Sensing) system has wide application in field of mapping, formation testing and so on. However, suffers strong coherent noise such as cable slapping ringing due to physical placement wireline well. This abstract introduces generation principle morphological characteristics, presents power degree measurement method fiber coupling seismic data. tool is spectrum attitude including variance kurtosis property....

Seismic waveform classification is a critical technology to identify the underground reservoir. Various methods have been proposed including supervised or unsupervised learning describe classification. However, in some cases, seismic response of reservoir geologic body seriously affected by strong reflection (background interference) overlying stratum underlying strata field data, so that it often difficult applying method original data directly. In this paper, based on removing background...

Existing video object segmentation (VOS) benchmarks focus on short-term videos which just last about 3-5 seconds and where objects are visible most of the time. These poorly representative practical applications, absence long-term datasets restricts further investigation VOS application in realistic scenarios. So, this paper, we present a new benchmark dataset named \textbf{LVOS}, consists 220 with total duration 421 minutes. To best our knowledge, LVOS is first densely annotated dataset....

Self-organizing mapping (SOM) is one of the most famous classification method in seismic facies analysis. Traditional self-organizing map network and its variation methods usually use Euclidean distance to measure similarity between input data weights neuron node. A mainly used global random variables, while a correntropy local variables very useful for non-Gaussian signal. In general, geological sedimentation has own regular pattern. The imaging response sedimentation. If regularity,...

Summary This paper proposes a new multichannel convolution model for stacked seismic data. supposes that the layers are horizontal and reflection coefficients sparse. The properties of layer change weakly randomly, which means from same interface randomly with weak amplitude. Based on this lateral invariant wavelet, we introduce time-vary wavelet signal. Therefore instantaneous linear mix independent component analysis (ICA) is satisfied. can be estimated by solving proposed model. synthetic...

In land seismic acquisition, the quality of common-shot gathers is severely degraded by wind turbine noise (WTN) when turbines are operating continuously in survey areas. The high-amplitude WTN overlaps or even completely submerges body and surface waves (signals). Through time-space frequency analysis, three main features observed: (1) it periodic with nearly constant frequencies over time, (2) coherent but exhibits different apparent velocities space, (3) has relatively narrow bands...