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Geodesy and Engineering Survey
Generalized Surveying Data Processing: From Geometric Parameters Calculation to Feature Information Extraction
Prediction of Lunar Libration Parameters Using LSTM
Establishment of PWV Fusion Model Using Multi-source Data
Logarithmic Relaxation Time Estimated from Post-Seismic GPS Time Series
A New Data Preprocessing Method for BeiDou Satellite Clock Bias
Application of Quadtree Decomposition to Intersections Search of Air-Sea Gravity Survey Grid
Analysis of Vertical Deformation in Shaanxi Area, China
Doppler Integration Aided Kinematic Single-Frequency Cycle Slip Detection
Photogrammetry and Remote Sensing
Oblique Factor Model for Selecting Training Samples
Water Surface Altimetry Using BD-3 B2a Reflected Signal
A General Cross-Modal Correlation Learning Method for Remote Sensing
Deriving 3D Coseismic Deformation Field of 2017 Jiuzhaigou Earthquake with Elastic Dislocation Model and InSAR Data
Single Tree Segmentation in Close-Planting Orchard Using UAV Digital Image
Quality Evaluation of GLASS Albedo Products and Albedo Variation Trends Analysis in Greenland
Cartography and Geoinformation
Evaluation of Urban Ecological Environment and Its Relationship with Human Activities with Multi-source Data
A Fourier Energy Spectrum Model for DEM Multi-scale Representation
A Coordinate Encryption Algorithm for Vector Spatial Data Using Haar Transform and Gaussian Random Number
Gait Acceleration Signal Preprocessing with Wavelet Denoising
Articles online first have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
Display Method:
Development Status and Influencing Factor Analysis of Underwater Matching Navigation Based on Gravity Field Products
Construction and precision evaluation of comprehensive drought index based on meteorological and Remote sensing vegetation information
Hazard evaluation of the slope in Shenzhen based on airborne LiDAR data
Advance of Mass Change and Driving Mechanism Research on Greenland Ice Sheet
An improved artificial bee colony algorithm for inversion of seismic source parameters using GPS observation data
InSAR 3D coseismic surface deformation inversion: a combination method based on deformation gradient
A cloud detection method with domain adaptation enhanced generalization capability
CFD Simulation of the Influence of Street Interface Density on Natural Ventilation and Pollutants Diffusion in Urban Streets
Research and Application of DS-InSAR Phase Optimization based on Regional Growth
Information entropy uncertainty estimation based domain adaptation for land cover classification from multi-source remote sensing images
Extracting Coseismic Three-dimensional Deformation Field of Earthquake by Integrating Earthquake Dislocation Model and ESISTEM Method—A Case Study of the 2021 Ms 6.4 Yangbi Earthquake
Detect Songhua River Basin Groundwater Spatiotemporal Variation Characteristics by GRACE and Multi-source Hydrological Data
Estimation of USO frequency drift using one-way Doppler measurements for Tianwen 1
A Global Path Planning Method for Mobile Robot Laser Model
The analysis of the impact of EOP prediction errors on the orbit determination of deep-space spacecraft
Extraction and Area Change Analysis of Supraglacial Lakes in Greenland Ice Sheet Using U-Net
Atmospheric Refraction Error Analysis for Visual and Infrared Multispectral Sensor in Multi-angle Imaging
Integration Study on Oasis Soil Moisture Inversion Using ALOS-2 and Landsat-8
A Holistic Multi-domain Association Model for Railway Geographical and Geological Data
Research on CE-5' Dual-target Joint Orbit Determination Technology
Research on secondary detection of MRU position deviation and terrain elimination of multi-beam abnormal stripe
Invariant RTS Smoother and its application in 5G/SINS Integrated Navigation System
A multi-model early warning method for dam displacement behavior
An optimal RANSAC method for segmentation of complex building roof planes
Coal mining subsidence basin construction and horizontal movement intelligent extraction based on topographic features
Fast Feature Matching of UAV Images via Indexing Constraints of Vocabulary Trees
GNSS Constrained Self-Calibration for Long Corridor UAV Image
Landslide displacement prediction model integrating multi-layer perceptron and optimized support vector regression
End-to-end attention pooling for histopathology image classification
An analysis of temporal-spatial variation characteristics of ionosphere over China region in the past 15 years using COSMIC-1/2 IonPrf products
A Smartphone based visual global localization method with high usability in large indoor spaces
Remote sensing video production and traffic information extraction based on urban skyline
Research on the Influence of MGEX Differential Code Bias Products on BDS-3 Pseudorange Single Point Positioning
Recognition of Typical Building Group Patterns using Spatial Graph Convolutional Model DGCNN
Coseismic Deformation and Slip Distribution of the 2022 Luding Mw 6.6 Earthquake Revealed by InSAR Observations
Medium-long term forecasting method for earth rotation parameters considering effective angular momentum information
Point cloud fitting method based on the robust nonlinear Gauss-Helmert model
A global and local coding mapping method based on DQG-3D grid
Zenith Wet Delay Fusion Based on A Generalized Regression Neural Network
Emergency Analysis of the Impact of the Luding Ms 6.8 Earthquake on Hailuogou Glacier
Transit Oriented Development (TOD): A Review
Research on Emergency Evaluation of Landslides Induced by Luding Ms 6.8 Earthquake
Remote sensing image fusion based on low-level visual features and PAPCNN in NSST domain
Application of Aerial Remote Sensing in Geological Hazards: Current Situation and Prospects
Social media information classification of earthquake disasters based on BERT transfer learning model
Evaluation of China's Aid to Central Asia from the Perspective of Night-time Light Remote Sensing
Text Super-resolution Method with Attentional Mechanism and Sequential Units
Approach to automating the DP Algorithm—taking river simplification as an example
Non-ideality characteristic analysis and receiver design constraints recommendation for BeiDou System B1C and B2a Signals
Effect of point cloud density on forest remote sensing retrieval index extraction based on Unmanned Aerial Vehicle Lidar Data
Extraction of Emotional Landmarks in Large Malls Based on User-Generated Content
Road Extraction from Remote Sensing Image by Integrating DCNN with Short Range Conditional Random Field(SRCRF)
Research on Sensor Coverage Deployment Method in Continuous Three-dimensional Space: A Case Study of Water Quality Monitoring
Precise Orbit Determination for HY2B Using On-Board GPS Data
Woodland Extraction of SPOT7 Image Based on Multi-scale Attention Mechanism and Edge Constraint
Camera-LiDAR Fusion for Object Detection, Tracking and Prediction
An Indoor Ego-Localization Method for Low Cost Millimeter Wave Radar
A GNSS-IR soil moisture inversion method integrating phase, amplitude and frequency
A Method for Geographical Environment Spatiotemporal Topic Discovery of Multi-dimensional Relationships
Assessment of GNSS-IR-based snow-depth retrievals using observations from different receivers with the same antenna
A space-time prism based ridesharing model for shared mobility
RAIM Performance Analysis of Three Typical Low-orbit Augmentation Constellations Combined with BDS Applications
Spatial-temporal Expansion Pattern and Driving Mechanism of Built-up Area in Chang-Zhu-Tan Urban Agglomeration
Pavement Crack Automatic Identification Method Based on Improved Mask R-CNN Model
Analysis of the Mw4.9 Le Teil Earthquake in Southeastern France and Its Correlation with Le Teil Quarry Extraction Using Sentinel-1 and Topographic Data
Determinant Point Process Sampling Method for Text-to-Image Generation
Land Subsidence Situation by Ascending and Descending InSAR Interpretation after the Start of the South to North Water Transfer in the Beijing
Automatic Aggregation of Building Considering the Spatial Structure
An approach to transforming oblique photogrammetric data into Unreal Engine 4 rendering resources
Deepfake Video Detection Using 3DMM Facial Reconstruction Information
Survey Data Processing Method of Submarine Pressure Resistance Based on Non-uniform Sampling Weighted Least Square Circle Fitting
InSAR Time Series Monitoring and Analysis of Land Deformation after Mountain Excavation and City Construction in Lanzhou New District
Vegetation dynamic change and its response to climate and topography in Altay region of Xinjiang in recent 20 years
Building Extraction Based on Multi-feature Fusion and Object-boundary Joint Constraint Network
Building SceneStructure Extraction Method for Urban Augmented Reality Annotation
Lunar Positioning of CE-5 Detectors and Precision Analysis
Landslide Early Warning Method Based on Dynamic High Frequency Data of Ground-based Radar Interferometry
Counting of Plantation Trees Based on Line Detection of Point Cloud Data
Phenological phase identification of oilseed rape (Brassica napus L.) Using typical Stokes parameters
Analysis of relative sea level change of the Tianjin coast in recent 25 years using satellite altimetry and GNSS observations
Downward Continuation of Gravity Using the Band-Limited Models for High-Order Radial Derivatives of Gravity Anomaly
Methodological Research on Measuring Distance Uncertainty in Two-Dimensional Space
Analysis of Urban Road Spatiotemporal Situation by Geographically Weighted Regression with Spatial Grid Computing Method
Algorithm Modification and Estimation Comparison of Ripley’s K-function
A Simple Iterative Solution for Mixed Additive and Multiplicative Random Error Model with Inequality Constraints
MVLL Match Method for Multi-baseline Stereo Imagery Based on Semi-global Constraint
Improved Gravity-Geologic Method and Its Application to Seafloor Topography Inversion in the South China Sea
Frequency Performance Evaluation of BeiDou-3 Satellite Atomic Clocks
Registration of the HRSIs and the LiDAR point clouds based on the distance transformation model
Individual Driving Destination Prediction by Considering Intersection Transfer Preference and Current Move Mode
The Accuracy Comparison of Near Surface Air Temperature Estimation Using Different Land Surface Temperature Sources
A Sea-Land Segmentation Method for SAR Images Using Context-aware and Edge Attention based CNNs
Design and implementation of time and frequency architecture for BeiDou-3 system
Method for Mountain Peak Extraction of Grid DEM Based on Aspect Distribution Feature
Retrieving 3-D coseismic deformation of the 2016 Mw 7.8 Kaikoura earthquake using SAR and optical data
Progress and Perspectives of Point Cloud Compression
An Optimal Selection Algorithm of Territorial Sea Baseline Points with the Limitation of Baseline Length Threshold
Home Leading by Mental Map
Vertical Movement Model in Chinese Mainland Based on First Order Leveling Results
Social media information extraction and public opinion mining for African swine fever epidemic
A Denoising Method for GNSS Time Series Based on GAVMD and Multi-Scale Permutation Entropy
Combinations of the simplex and weighted distance-based grey wolf algorithms for the seismic source parameter inversion with GPS measurements
Establishment of Vertical Movement Model of Chinese Mainland by Fusion Result of Leveling and GNSS
An Algorithm for Ambiguity Resolution of BDS Undifferenced and Uncombined Long-range Reference Stations
Assessment of Position Performance of BDS for Space Application Based on FY-3D Satellite
Landslide Detection and Segmentation Using Mask R-CNN with Simulated Hard Samples
Study on Recognizing the Penguin Population in UAV Image Based on Object Otiented Classification
Potential Contribution from Tianwen-1 Extended Mission to Mars Low-Order Gravity Field
Application of the Harmonic Model with Variable Coefficients to Polar Motion Prediction
A Weighted Radial Basis Function Interpolation Method for High Accuracy DEM Modeling
Simulated Analysis of EOP Measurement Accuracies with participation of Chinese VGOS Stations in International Observations
SBAS GEO Satellite User Range Error and Position Augmentation Research
Short-term Prediction for Polar Motion Based on Chaos and Volterra Adaptive Algorithm
Application of EMD in GNSS Time Series Periodic Term Processing
Accuracy Assessment of Multi-frequency and Multi-GNSS Velocity Estimation With Time Differenced Carrier Phase Method
Vehicle Attitude Estimation Model Using Optimized Time-Differenced Carrier Phase
Development of Asteroid Optical Determination Software and Data Processing Analysis
Performance Evaluation of BeiDou-3 Spaceborne Atomic Clock Using Different Time Synchronization Systems
BDS-3/GNSS uncombined precise point positioning
Distributed Visible Query Method for Regional Objects Using Map-Reduce
A Method of Using Unity3D to Simulate the Whole Process of Three-dimensional Movement of Rockfall
A Probabilistic Prediction Model for Displacement of Super High Arch Dams Considering the Deformation Spatial Association
Spatial and temporal characteristics of AOD and meteorological factors in China during the period of COVID-19
Improved Finite State Machine Step Detection Algorithm for Smartphone
A GNSS/INS Vehicle Integrated Navigation System Based on LSTM-EKF
Trajectory Estimation Analysis and Low Degree Gravity Field Recovery Based on Juno Tracking Data
Air Temperature Estimation in Yangtze River Economic Zone Using Geographically and Temporally Neural Networks
Highway slope deformation monitoring based on car-borne dual-antenna InSAR system
Semantic segmentation of point clouds using local geometric features and dilated neighborhoods
Signal Quality Analysis and Orbit Accuracy Verification of BDS-3
Improved YOLOv5 Method for Detecting Shipwreck Target with Side-scan Sonar
Seasonal Rainstorm and Flood Risk Assessment Method for ImmovableCultural Relics: A Case Study of National Ancient Sites in Fujian Province
A Geo-coded Stabilization Approach for Optical Video Satellites in Object Space
Performance Analysis of BDS-3 Multi-frequency Pseudorange Positioning
Line Matching Algorithm Based on Pair-wise Geometric Features and Individual Line Descriptor Constraints
Performance Evaluation of BDS-3 PPP-B2b Service
Encoding and operation for the aperture 4 hexagonal discrete global grids on uniform tiles
Integrating Sentinel Active and Passive Data to Map Land Cover in a National Park from GEE Platform
GPS receiver differential code bias estimation with the Swarm LEO constellation
Time-varying analysis of backscatter coefficient corresponding to different surface types in the Tibetan Plateau
An Adaptive Terrain Simplification Algorithm Based on Centroidal Voronoi Diagram
A Method to Evaluate Sampling Scheme Adopted in Surveying and Mapping Products' Inspection
Tourism Flow Network Structures of Different Types of Tourists Using Online Travel Notes: A Case Study of Yunnan Province
Research and Application of Gravity Anomaly Spectrum Analysis Method
A New Landslide Deformation Monitoring Method with Polarimetric SAR Based on Polarimetric Likelihood Ratio Test
A Point Cloud Registration Method Based on Dual Quaternion Description Under the Constraint of Point and Surface Features
A One-Step Modelling for BeiDou Satellite Observations Multipath Delay Based on Prior Constraints
Personal location prediction algorithm taking into account similar user characteristics
A Reference Satellite Image Retrieval Method for Drone Absolute Positioning
The Wet Tropospheric Correction of Wide-swath Altimeter using Optimum Interpolation Method
Articles just accepted have been peer-reviewed and accepted, which are not yet assigned to volumes /issues, but are citable by Digital Object Identifier (DOI).
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Start in 1957 Monthly

ISSN 1671-8860

CN 42-1676/TN




Special Recommend


Research on Emergency Evaluation of Landslides Induced by Luding Ms 6.8 Earthquake

At 12:52 on September 5, 2022, an Ms 6.8 earthquake struck the Luding County, Ganzi Prefecture, Sichuan Province. This event triggered extensive geological hazards in mountainous areas, leading to serious casualties. Rapidly and accurately obtaining the spatial distribution of induced geological hazards is crucial for emergency decision-making and rescue after an earthquake. Based on the global coseismic landslide database and deep learning algorithm, this paper built a near real-time prediction model of spatial distribution probability of coseismic landslides, and obtains the prediction results of the geological hazards induced by the Luding earthquake within 2 hours after the event. Through the post-earthquake unmanned aerial vehicle(UAV) and satellite remote sensing images, machine learning and deep learning algorithms were used to realize the automated recognition of large-scale geological hazards. A total of 3 633 earthquake-induced landslides with an area of 13.78 km2 were interpreted. Finally, integrating these landslide data, the model of was optimized afterwards, and the prediction results of coseismic landslides with a broader area and higher accuracy were achieved. The results show that the coseismic landslide prediction model can realize a rapid capture of spatial distribution of post-earthquake geological hazards, filling the blank period before the acquisition of post-earthquake remote sensing images and providing support for post-disaster emergency rescue. Intelligent identification technologies based on UAV and satellite remote sensing images are effective means to rapidly obtain the vital information of large-scale geological hazards. The achievements obtained in this paper played an important role in the emergency rescue after the Luding earthquake.

LI Yansheng

A New Paradigm of Remote Sensing Image Interpretation by Coupling Knowledge Graph and Deep Learning

  Objectives  In the remote sensing (RS) big data era, intelligent interpretation of remote sensing images (RSI) is the key technology to mine the value of big RS data and promote several important applications. Traditional knowledge-driven RS interpretation methods, represented by expert systems, are highly interpretable, but generally show poor performance due to the interpretation knowledge being difficult to be completely and accurately expressed. With the development of deep learning in computer vision and other fields, it has gradually become the mainstream technology of RSI interpretation. However, the deep learning technique still has some fatal flaws in the RS field, such as poor interpretability and weak generalization ability. In order to overcome these problems, how to effectively combine knowledge inference and data learning has become an important research trend in the field of RS big data intelligent processing. Generally, knowledge inference relies on a strong domain knowledge base, but the research on RS knowledge graph (RS-KG) is very scarce and there is no available large-scale KG database for RSI interpretation now.  Methods  To overcome the above considerations, this paper focuses on the construction and evolution of the RS-KG for RSI interpretation and establishes the RS-KG takes into account the RS imaging mechanism and geographic knowledge. Supported by KG in the RS field, this paper takes three typical RSI interpretation tasks, namely, zero-shot RSI scene classification, interpretable RSI semantic segmentation, and large-scale RSI scene graph generation, as examples, to discuss the performance of the novel generation RSI interpretation paradigm which couples KG and deep learning.  Results and Conclusions  A large number of experimental results show that the combination of RS-KG inference and deep data learning can effectively improve the performance of RSI interpretation.The introduction of RS-KG can effectively improve the interpretation accuracy, generalization ability, anti-interference ability, and interpretability of deep learning models. These advantages make RS-KG promising in the novel generation RSI interpretation paradigm.

LI Teng

Applications of UAVs in Antarctic Scientific Research: Progress and Prospect

  Objectives  As an emerging airborne remote sensing system, unmanned aerial vehicle (UAV) falls into multiple categories with various payloads, such as the multi‐rotor and fixed‐wing ones. Despite the harsh climatic condition, UAV is widely used in many Antarctic fields of basic and applied science, which still lacks a comprehensive and systematic literature review.  Methods  We firstly discuss the special impact of Antarctic environmental conditions (meteorology, electromagnetic field, light, etc.) on the UAV operation. A comprehensive literature retrieval is subsequently presented on the current application of UAV in Antarctic research and expedition. We sort out 104 papers according to the time of publication, main journals, study areas, nations, and institutions. Representative literature is reviewed in seven application ar‍eas, including aeromechanics, atmosphere, sea ice and iceberg, glacier, geomorphology and geomagnetism, ecology‐vegetation as well as ecology‐animals. We retrospect the development and achievement of UAV's applications in the Chinese national Antarctic research and summarize the limitations of the research on the application of UAV in Antarctica.  Results  A number of environmental factors need to be considered before the UAV missions, such as the meteorological conditions, electromagnetic field, solar radiations, and flight regulations. According to the review, half of the literature belongs to the journal paper, mostly in Polar Biology, Polar Science, and Remote Sensing. The earliest UAV research in Antarctica was published in 2004, followed by a productive period of International Polar Year in 2008. The first‐tier countries including the USA, Australia, and Germany, led the progress in the research on UAVs in Antarctica. Meanwhile, the dominant role of top universities stood out via various collaborations. The UAV can also be classified into multiple categories according to the payload, such as the industrial‐ or consumer‐grade optical cameras, radiosonde, synthetic aperture radar, and light detecting and ranging(LiDAR), among which consumer‐grade camera is widely used in Antarctic investigations. China's Antarctic expedition team initiated the Antarctic UAV program in 2007 and had carried out at least 18 flight missions by 2020. The flights cov‍ered Zhongshan Station, The Great Wall Station, Inexpression Island, and the inland ice sheet, from which the collected data were employed to support the glaciological, geomorphic, and biological stud‍ies.  Conclusions  The UAV remote sensing, as the essential technology in the"Air‐Space‐Ground" polar observation system, has been increasingly upgraded in the recent decade. The flight experiments cov‍ered the primary research topics and research fields in Antarctic science. In general, the application and development of Antarctic UAV in China lie in the second tier, falling behind the USA and Australia. In the end, accord‍ing to the current development of Antarctic UAV in China, this paper provides guidance for China's Antarctic expedition team in the future: (1) Develop new UAV models; (2) Make breakthroughs in the battery technology; (3) Couple multiple sensors; (4) Encourage trans‐disciplinary collaboration;