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Hyperspectral image classification using an encoder-decoder model with depthwise separable convolution, squeeze and excitation blocks
Remote sensing is one of the major domains witnessing the increasingly significant interest in Hyperspectral image (HSI) classification. One recent...
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Automatic identification of seismic faults via integrating Residual Network-50 residual blocks and convolutional block attention modules
Traditional fault identification involves manual marking by geological interpreters, which is time consuming, inefficient, and prone to human error....
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AI powered road network prediction with fused low-resolution satellite imagery and GPS trajectory
This study presents an innovative approach for automatic road detection with deep learning, employing fusion strategies to utilize both...
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Semantic segmentation of oblique UAV video based on ConvLSTM in complex urban area
Semantic segmentation of UAV data has been one of the research hotspots in recent years. Many applications, such as the aerial map** of urban–rural...
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Development of a Pseudo-3D Fracture Geometry Model in Hydraulic Fracture: A Case of X-well in Vietnam
In order to predict the geometric development of fracture, we need to use geometry simulation models. The models commonly used in the petroleum...
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Random Noise Attenuation by Self-supervised Learning from Single Seismic Data
Random noise attenuation is of great importance to obtain high-quality seismic data. Unsupervised deep learning methods have received much attention...
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Self-similarity convolution neural network for seismic noise suppression in desert environment
Seismic signals are inevitably disturbed by random noise in the acquisition process, which greatly degrades seismic data. In order to improve the...
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A Novel Deep Learning Approach for High-Resolution Satellite-Based DEM Filtering
Building detection and shape extraction from satellite imagery are essential requirement for virtual 3D city modelling. For accurate 3D city...
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Well Logging Stratigraphic Correlation Algorithm Based on Semantic Segmentation
Well logging curves serve as indicators of strata attribute changes and are frequently utilized for stratigraphic analysis and comparison. Deep...
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Application of Artificial Intelligence Fracture Detection in Hechuan Area
The development of strike slip faults in the central part of the Sichuan Basin is influenced by the structure, and the high yield wells reveal that...
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Twenty thousand leagues under plant biominerals: a deep learning implementation for automatic phytolith classification
Phytoliths constitute microscopic SiO 2 -rich biominerals formed in the cellular system of many living plants and are often preserved in soils,...
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Addressing Effects of Environment on Eddy-Covariance Flux Estimates at a Temperate Sedge-Grass Marsh
We examined the net-ecosystem-exchange (NEE)-based annual carbon-balance estimates obtained from eddy-covariance (EC) measurements at an unmanaged...
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Seismic Stratum Segmentation Using an Encoder–Decoder Convolutional Neural Network
As an essential step in reservoir characterization, seismic stratigraphic interpretation is often dependent on the development of powerful...
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Assessments of Data-Driven Deep Learning Models on One-Month Predictions of Pan-Arctic Sea Ice Thickness
In recent years, deep learning methods have gradually been applied to prediction tasks related to Arctic sea ice concentration, but relatively little...
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Using Machine Learning Algorithms for Water Segmentation in Gas Diffusion Layers of Polymer Electrolyte Fuel Cells
X-ray computed tomography (CT) is increasingly used to characterize the morphology of water distribution in gas diffusion layers (GDLs) for polymer...
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Suppression of seismic random noise by deep learning combined with stationary wavelet packet transform
Many traditional denoising methods, such as Gaussian filtering, tend to blur and lose details or edge information while reducing noise. The...
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A Novel Approach to Three-Dimensional Inference and Modeling of Magma Conduits with Exploration Data: A Case Study from the **chuan Ni–Cu Sulfide Deposit, NW China
The genesis of magmatic Ni–Cu–precious metal sulfide ore deposits in open system magma conduits provides a means to reconcile the very large ratios...
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Deep learning fusion for dynamic cropland monitoring: integrating MUNet with Siamese networks and convolutional LSTM2D
Agricultural countries like India need strong change detection systems for land covers which directly or indirectly affects the cropland. Detecting...
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Anatomy of a km-scale fault zone controlling the Oligo-Miocene bending of the Ligurian Alps (NW Italy): integration of field and 3D high-resolution digital outcrop model data
We report the first description of a ~ 15 km long NE-SW-striking transtensive fault network crosscutting the metamorphic units of the Ligurian Alps....
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Projection–Subtraction X-ray Imaging Scheme for Studying Fast Fluid-Dynamics Processes in Porous Media
Imaging of fluid flow at the pore scale in permeable media requires high spatial resolution to observe the topology of fluid in the pore system,...
