Zhao et al. (2026) OCSA-FN: A Fusion Network With Orthogonality-Constrained Spatial Attention for Hyperspectral and Land Surface Temperature Data Classification

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Enyu Zhao, Yongfang Su, Nianxin Qu, Yufei Wang, Y. B. Zhao
• DOI: 10.1109/tgrs.2026.3659827

Research Groups

Not available from the provided text.

Short Summary

This paper introduces OCSA-FN, a novel fusion network incorporating orthogonality-constrained spatial attention, designed for the classification of combined hyperspectral and land surface temperature data.

Objective

• To develop and evaluate a new deep learning model, OCSA-FN, that effectively fuses hyperspectral and land surface temperature data for enhanced classification performance, utilizing an orthogonality-constrained spatial attention mechanism.

Study Configuration

• Spatial Scale: Implied to be related to remote sensing applications, likely covering various geographical areas depending on the sensor data used. Specific scale not available from the provided text.
• Temporal Scale: Not available from the provided text.

Methodology and Data

• Models used: OCSA-FN (a fusion network with orthogonality-constrained spatial attention).
• Data sources: Hyperspectral data, Land Surface Temperature (LST) data. These are typically derived from remote sensing platforms (e.g., satellites).

Main Results

Not available from the provided text.

Contributions

• Introduction of OCSA-FN, a novel fusion network architecture.
• Integration of an orthogonality-constrained spatial attention mechanism for improved feature learning and fusion.
• Application of the proposed network for classifying combined hyperspectral and land surface temperature data, potentially offering enhanced accuracy compared to existing methods.

Funding

Not available from the provided text.

Citation

@article{Zhao2026OCSAFN,
  author = {Zhao, Enyu and Su, Yongfang and Qu, Nianxin and Wang, Yufei and Zhao, Y. B.},
  title = {OCSA-FN: A Fusion Network With Orthogonality-Constrained Spatial Attention for Hyperspectral and Land Surface Temperature Data Classification},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3659827},
  url = {https://doi.org/10.1109/tgrs.2026.3659827}
}