Xie et al. (2026) A CNN-Transformer Hybrid Network With Boundary Guidance for Mapping Cropland Field Parcels From High-Resolution Remote Sensing Imagery

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Junyang Xie, Hao Wu, Wenbin Wu, Hong Liang, Lihua He, Qiangyi Yu, L. Liu, Anqi Lin, Jaturong Som-ard
• DOI: 10.1109/tgrs.2026.3651284

Research Groups

[Information not available in the provided text.]

Short Summary

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Objective

• [Information not available in the provided text.]

Study Configuration

• Spatial Scale: [Information not available in the provided text.]
• Temporal Scale: [Information not available in the provided text.]

Methodology and Data

• Models used: CNN-Transformer Hybrid Network with boundary guidance.
• Data sources: High-Resolution Remote Sensing Imagery.

Main Results

• [Information not available in the provided text.]

Contributions

• [Information not available in the provided text.]

Funding

• [Information not available in the provided text.]

Citation

@article{Xie2026CNNTransformer,
  author = {Xie, Junyang and Wu, Hao and Wu, Wenbin and Liang, Hong and He, Lihua and Yu, Qiangyi and Liu, L. and Lin, Anqi and Som-ard, Jaturong},
  title = {A CNN-Transformer Hybrid Network With Boundary Guidance for Mapping Cropland Field Parcels From High-Resolution Remote Sensing Imagery},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3651284},
  url = {https://doi.org/10.1109/tgrs.2026.3651284}
}