Spatial Data and Intelligence

.- Spatiotemporal Data Analysis.  



.- Multi-view Contrastive Clustering with Clustering Guidance and Adaptive Auto-en-coders.  



.- Cloud-Edge Collaborative Continual Adaptation for ITS Object Detection.  



.- Understanding Spatial Dependency among Spatial Interactions.  



.- An Improved DBSCAN Clustering Method for AIS Trajectories Incorporating DP Compression and Discrete Fréchet Distance.  



.- Structure and Semantic Contrastive Learning for Nodes Clustering in Heterogeneous Information Networks.  



.- Accuracy Evaluation Method for Vector Data Based on Hexagonal Discrete Global Grid.  



.- Applying Segment Anything Model to Ground-Based Video Surveillance for Identify-ing Aquatic Plant.  



.- Spatiotemporal Data Mining.  



.- Mining Regional High Utility Co-location Pattern.  



.- Local Co-location Pattern Mining Based on Regional Embedding.  



.- RCPM_RLM: A Regional Co-location Pattern Mining Method Based on Representa-tion Learning Model.  



.- Construction of a Large-Scale Maritime Elements Semantic Schema Based on Hetero-geneous Graph Models.  



.- OCGATL: One-Class Graph Attention Networks with Transformation Learning for Anomaly Detection For Argo Data.  



.- RGCNdist2vec: Using Graph Convolutional Networks and Distance2Vector to Esti-mate Shortest Path Distance along Road Networks.  



.- Self-supervised Graph Neural Network based Community Search over Heterogeneous Information Networks.  



.- Measurement and Research on the Conflict between Residential Space and Tourism Space in Pianyan Ancient Township.  



.- Spatiotemporal Data Prediction.  



.- Spatio-Temporal Sequence Prediction Of Diversion Tunnel Based On Machine Learn-ing Multivariate Data Fusion.  



.- DyAdapTransformer: Dynamic Adaptive Spatial-Temporal Graph Transformer for Traffic Prediction.  



.- Predicting Future Spatio-Temporal States Using a Robust Causal Graph Attention Model.  



.- Remote Sensing Data Classification.  



.- MADB-RemdNet for Few-Shot Learning in Remote Sensing Classification.  



.- Convolutional Neural Network Based on Multiple Attention Mechanisms for Hyper-spectral and LiDAR Classification.  



.- Few-shot Learning Remote Scene Classification Based On DC-2DEC.  



.- Applications of Spatiotemporal Data Mining.  



.- Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced by Au-tonomous Vehicles.  



.- Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features.  



.- HPO-LGBM-DRI: Dynamic Recognition Interval Estimation for Imbalanced Fraud Call via HPO-LGBM.  



.- A Review on Urban Modelling for Future Smart Cities.