Wang et al. (2026) FarmCD: Agricultural Information-Guided Gated Network for Farmland Change Detection From Remote Sensing Images

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Hongjin Wang, Na Wang, Xinghua Li
• DOI: 10.1109/tgrs.2026.3652586

Research Groups

[Not specified in the provided text]

Short Summary

[Not specified in the provided text]

Objective

• To detect changes in farmland using remote sensing images, guided by agricultural information and a gated network approach.

Study Configuration

• Spatial Scale: [Not specified in the provided text]
• Temporal Scale: [Not specified in the provided text]

Methodology and Data

• Models used: Agricultural Information-Guided Gated Network (FarmCD)
• Data sources: Remote Sensing Images

Main Results

• [Not specified in the provided text]

Contributions

• [Not specified in the provided text]

Funding

• [Not specified in the provided text]

Citation

@article{Wang2026FarmCD,
  author = {Wang, Hongjin and Wang, Na and Li, Xinghua},
  title = {FarmCD: Agricultural Information-Guided Gated Network for Farmland Change Detection From Remote Sensing Images},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3652586},
  url = {https://doi.org/10.1109/tgrs.2026.3652586}
}