From the 1 of 6 linked papers with an AI index.
6 papers
ReLATE: Reliability-Guided Evidence Fusion for Robust UAV--Satellite cross-view Geo-Localization
Haochen Jiang, Jialei Pan, Yuzhe Sun +4
The paper introduces UAVSat-Deg, a large benchmark for evaluating UAV‑to‑satellite geo‑localization under various image degradations, and proposes ReLATE, a reliability‑guided feat…
HieraRS: A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multi-Granularity Interpretation and Cross-Domain Transfer
Tianlong Ai, Tianzhu Liu, Haochen Jiang +1
Hierarchical land cover and land use (LCLU) classification aims to assign pixel-wise labels with multiple levels of semantic granularity to remote sensing (RS) imagery. However, ex…
CroBIM-V: Memory-Quality Controlled Remote Sensing Referring Video Object Segmentation
H. Jiang, Y. Sun, Z. Dong +2
Remote sensing video referring object segmentation (RS-RVOS) is challenged by weak target saliency and severe visual information truncation in dynamic scenes, making it extremely d…
CroBIM-U: Uncertainty-Driven Referring Remote Sensing Image Segmentation
Yuzhe Sun, Zhe Dong, Haochen Jiang +2
Referring remote sensing image segmentation aims to localize specific targets described by natural language within complex overhead imagery. However, due to extreme scale variation…
PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration
Zhe Dong, Yuzhe Sun, Haochen Jiang +2
Remote sensing images inevitably suffer from various degradation factors during acquisition, including atmospheric interference, sensor limitations, and imaging conditions. These c…
EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation
Zhe Dong, Yuzhe Sun, Tianzhu Liu +2
Satellite imagery and maps, as two fundamental data modalities in remote sensing, offer direct observations of the Earth's surface and human-interpretable geographic abstractions,…