Ai et al. (2026) HieraRS: A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multigranularity Interpretation and Cross-Domain Transfer

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Tianlong Ai, Ting Liu, Haochen Jiang, Y. W. Gu
• DOI: 10.1109/tgrs.2026.3673962

Research Groups

[Not available from provided text]

Short Summary

[Not available from provided text]

Objective

• [Not available from provided text]

Study Configuration

• Spatial Scale: [Not available from provided text]
• Temporal Scale: [Not available from provided text]

Methodology and Data

• Models used: HieraRS (a hierarchical segmentation paradigm)
• Data sources: Remote sensing data (specific sources not detailed in provided text)

Main Results

• [Not available from provided text]

Contributions

• [Not available from provided text]

Funding

• [Not available from provided text]

Citation

@article{Ai2026HieraRS,
  author = {Ai, Tianlong and Liu, Ting and Jiang, Haochen and Gu, Y. W.},
  title = {HieraRS: A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multigranularity Interpretation and Cross-Domain Transfer},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3673962},
  url = {https://doi.org/10.1109/tgrs.2026.3673962}
}