Jie Yang
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View article: Physics-Informed Weighting Multi-Scale Deep Learning Inversion for Deep-Seated Fault Feature Identification: A Case Study of Aeromagnetic Data in the Dandong Region
Physics-Informed Weighting Multi-Scale Deep Learning Inversion for Deep-Seated Fault Feature Identification: A Case Study of Aeromagnetic Data in the Dandong Region Open
Magnetic inversion through three-dimensional (3D) susceptibility reconstruction can effectively identify the deep extension characteristics and structural variations in faults. Therefore, the reliability of inversion results from magnetic …
View article: A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism
A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism Open
Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant importance in geological structure analys…
View article: Evaluation and improvement of spatiotemporal estimation and transferability of multi-layer and profile soil moisture in the Qinghai Lake and Heihe River basins using multi-strategy constraints
Evaluation and improvement of spatiotemporal estimation and transferability of multi-layer and profile soil moisture in the Qinghai Lake and Heihe River basins using multi-strategy constraints Open
The machine learning regression (MLR) algorithms have brought new insights into soil moisture (SM) estimation. However, few studies have explored the potential of MLR algorithms for multi-layer and profile SM modeling, as well as their spa…
View article: Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Open
We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up to 204 frames in length. A deep compression Variational Autoencoder, Video-VAE, is designed for video g…
View article: Radar Scattering Analysis of Multi-Scale Complex Targets by Fast VSBR-MoM Method in Urban Scenes
Radar Scattering Analysis of Multi-Scale Complex Targets by Fast VSBR-MoM Method in Urban Scenes Open
An innovative and efficient hybrid technique, which combines the Method of Moments (MoM) with Volume Meshed Shooting and Bouncing Ray (VSBR), is presented to analyze the scattering of metallic–dielectric mixed multi-scale structures in urb…
View article: Auto Formation Control of the LEO Internet Constellation
Auto Formation Control of the LEO Internet Constellation Open
View article: 基于陆探一号卫星双极化观测的全极化SAR数据重构
基于陆探一号卫星双极化观测的全极化SAR数据重构 Open
View article: DMCF-Net: Dilated Multiscale Context Fusion Network for SAR Flood Detection
DMCF-Net: Dilated Multiscale Context Fusion Network for SAR Flood Detection Open
Synthetic aperture radar (SAR) imagery, with its all-weather, all-time capabilities, plays a critical role in flood detection. However, due to the diverse scattering mechanisms of water bodies, flood regions in SAR images typically exhibit…
View article: Risk Assessment of Pipeline Impact by Rainfall-Induced Landslides in Spatially Variable Soils with Rotated Anisotropy
Risk Assessment of Pipeline Impact by Rainfall-Induced Landslides in Spatially Variable Soils with Rotated Anisotropy Open
View article: Collaborative Control Analysis of Dual Arm Robots
Collaborative Control Analysis of Dual Arm Robots Open
The collaborative control technology of dual arm systems does play a crucial role in the field of robotics. This technology enables robots to exhibit extremely high efficiency and accuracy in handling complex, dangerous, or delicate tasks …
View article: Analysis of Dynamic Changes in Vegetation Net Primary Productivity and Its Driving Factors in the Two Regions North and South of the Hu Huanyong Line in China
Analysis of Dynamic Changes in Vegetation Net Primary Productivity and Its Driving Factors in the Two Regions North and South of the Hu Huanyong Line in China Open
Human activities and global environmental changes have transformed terrestrial ecosystems, notably increasing vegetation greenness in China. However, this greening is less effective across the Hu Huanyong Line (Hu Line). This study analyze…
View article: Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network
Efficient and privacy-preserving image classification using homomorphic encryption and chunk-based convolutional neural network Open
Image feature categorization has emerged as a crucial component in many domains, including computer vision, machine learning, and biometrics, in the dynamic environment of big data and cloud computing. It is extremely difficult to guarante…
View article: Efficient and Privacy-Preserving Image Classification Using Homomorphic Encryption and Chunk-based Convolutional Neural Network
Efficient and Privacy-Preserving Image Classification Using Homomorphic Encryption and Chunk-based Convolutional Neural Network Open
Image feature categorization has emerged as a crucial component in many domains, including computer vision, machine learning, and biometrics, in the dynamic environment of big data and cloud computing. It is extremely difficult to guarante…
View article: Study on the Legal Regime for Space Debris Mitigation — Taking the Inter-Agency Space Debris Coordination Committee Space Debris Mitigation Guidelines as an Example
Study on the Legal Regime for Space Debris Mitigation — Taking the Inter-Agency Space Debris Coordination Committee Space Debris Mitigation Guidelines as an Example Open
As human space activities continue, the problem of space debris which is regarded as the “killer of satellites, spacecraft, and space shuttles”, remains unresolved. 2021 saw the release of the latest version of the IADC Space Debris Mitiga…
View article: Bridge Damage Detection Using Complexity Pursuit and Extreme Value Theory
Bridge Damage Detection Using Complexity Pursuit and Extreme Value Theory Open
Bridge structures are susceptible to environmental and operational variations (EOVs). Improperly handling these influences may result in incorrect assessments of the bridge’s health condition. Blind source separation (BSS) techniques show …
View article: 72-Hour Real-Time Forecasting of Ambient Pm2.5 by Hybrid Graph Deep Neural Network with Aggregated Neighborhood Spatiotemporal Information
72-Hour Real-Time Forecasting of Ambient Pm2.5 by Hybrid Graph Deep Neural Network with Aggregated Neighborhood Spatiotemporal Information Open
View article: Calibration of Adjustment Coefficient of the Viscous Boundary in Particle Discrete Element Method Based on Water Cycle Algorithm
Calibration of Adjustment Coefficient of the Viscous Boundary in Particle Discrete Element Method Based on Water Cycle Algorithm Open
The viscous boundary has a direct influence on the accuracy of structural dynamic response analysis, and the absorbing effect of the viscous boundary is controlled by the adjustment coefficient. Therefore, a calibration model of the viscou…
View article: Segmented Modeling Method of Dam Displacement Based on Beast Time Series Decomposition
Segmented Modeling Method of Dam Displacement Based on Beast Time Series Decomposition Open
View article: Table of Contents
Table of Contents Open
View article: Table of Contents
Table of Contents Open
View article: Contribution of Polarimetry and Multi-Incidence to Soil Moisture Estimation Over Agricultural Fields Based on Time Series of <i>L</i>-Band SAR Data
Contribution of Polarimetry and Multi-Incidence to Soil Moisture Estimation Over Agricultural Fields Based on Time Series of <i>L</i>-Band SAR Data Open
The alpha approximation method is known to be effective and simple for soil moisture retrieval from time series of synthetic aperture radar data. However, its accuracy is usually degraded by the scattering from vegetation, and it entails w…
View article: Deep learning model of concrete dam deformation prediction based on CNN
Deep learning model of concrete dam deformation prediction based on CNN Open
The concrete dam deformation prediction model is a key measure to predict the evolution of structural behavior and evaluate the safe service status. This paper uses open-source deep learning framework TensorFlow as the platform and uses th…
View article: Ulva prolifera detection with dual-polarization GF-3 SAR data
Ulva prolifera detection with dual-polarization GF-3 SAR data Open
Ulva prolifera is a marine hazard occurs frequently in the Yellow Sea of China, which has led to continuous impacts on the marine environment. Accurate and timely information on Ulva prolifera monitoring by satellite remote sensing, plays …
View article: A Deep Learning Model for Concrete Dam Deformation Prediction Based on RS-LSTM
A Deep Learning Model for Concrete Dam Deformation Prediction Based on RS-LSTM Open
Deformation is a comprehensive reflection of the structural state of a concrete dam, and research on prediction models for concrete dam deformation provides the basis for safety monitoring and early warning strategies. This paper focuses o…
View article: An intelligent singular value diagnostic method for concrete dam deformation monitoring
An intelligent singular value diagnostic method for concrete dam deformation monitoring Open
Extracting implicit anomaly information through deformation monitoring data mining is highly significant to determining dam safety status. As an intelligent singular value diagnostic method for concrete dam deformation monitoring, shallow …
View article: Research on Robot Control Technology Based on Vision Localization
Research on Robot Control Technology Based on Vision Localization Open
Based on the understanding of machine vision localization technology at home and abroad, this paper outlines the overall design of the system, and analyses the working principle and workflow of the robot with vision system in workpiece gri…
View article: Online Modal Identification of Concrete Dams Using the Subspace Tracking‐Based Method
Online Modal Identification of Concrete Dams Using the Subspace Tracking‐Based Method Open
To investigate the time‐varying dynamic characteristics of concrete dams under the excitation of large earthquakes for online structural health monitoring and damage evaluation, an online modal identification procedure based on strong‐moti…
View article: Dielectric Characteristics of Unsaturated Loess and the Safety Detection of the Road Subgrade Based on GPR
Dielectric Characteristics of Unsaturated Loess and the Safety Detection of the Road Subgrade Based on GPR Open
We present a moisture content and permittivity model to simultaneously detect and estimate defects in loess subgrade. Based on the ground-penetrating radar (GPR) method, the dielectric properties of loess in the northwest of China and the …
View article: Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building
Inversion Model of GPR Imaging Characteristics of Point Objects and Fracture Detection of Heritage Building Open
There are often many hidden structural defects in heritage buildings. As a convenient and effective nondestructive detecting method, ground-penetrating radar (GPR) has a technical advantage in detecting and protecting heritage buildings de…
View article: 3D Space Shift from CityGML LoD3-Based Multiple Building Elements to a 3D Volumetric Object
3D Space Shift from CityGML LoD3-Based Multiple Building Elements to a 3D Volumetric Object Open
In contrast with photorealistic visualizations, urban landscape applications, and building information system (BIM), 3D volumetric presentations highlight specific calculations and applications of 3D building elements for 3D city planning …