XFlowMap introduces cross-scale flow pattern detection using scan statistics, automated generalization, and a novel multi-attribute flow symbol for mapping massive OD data.
Available: https://www.tandfonline.com/doi/full/10.1080/13658816.2019.168450 0
3 Pith papers cite this work. Polarity classification is still indexing.
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Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.
The study applies data preprocessing and pattern analysis to public transit records as preparation for ML-based digital twin modeling of urban mobility.
citing papers explorer
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XFlowMap: Cross-Scale Generalization and Mapping of Massive Origin-Destination Data
XFlowMap introduces cross-scale flow pattern detection using scan statistics, automated generalization, and a novel multi-attribute flow symbol for mapping massive OD data.
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Clustering Guided Domain-Specific Pretrained Foundation Model for Very High-Resolution Arctic Remote Sensing
Affinity-propagation clustering of Arctic VHSR imagery enables MAE pretraining of a ViT-Large encoder that outperforms ImageNet and Prithvi-EO-2.0 baselines by 5-15 percentage points in mean F1 on four downstream Arctic detection and segmentation tasks.