Rehman et al. (2026) A Novel Time-Aware Siamese Network for Crop Classification Using Spectrotemporal Signatures Derived From Multidimensional Data Format

Identification

• Journal: IEEE Transactions on Geoscience and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Arif Ur Rehman, Lifu Zhang, L. Chen, Changping Huang, Xuejian Sun, Chein-I Chang, Qingxi Tong
• DOI: 10.1109/tgrs.2026.3657338

Research Groups

N/A (Not provided in the given text)

Short Summary

This paper introduces a novel time-aware Siamese network designed for crop classification, utilizing spectrotemporal signatures derived from multidimensional data formats.

Objective

• To develop and apply a novel time-aware Siamese network for accurate crop classification by leveraging spectrotemporal signatures extracted from multidimensional data.

Study Configuration

• Spatial Scale: N/A (Not provided in the given text)
• Temporal Scale: The study is "Time-Aware" and uses "Spectrotemporal Signatures," indicating a focus on temporal dynamics, but specific temporal scales (e.g., daily, weekly, yearly) are not provided.

Methodology and Data

• Models used: A novel Time-Aware Siamese Network.
• Data sources: Spectrotemporal signatures derived from multidimensional data format. Specific sensor types (e.g., satellite, observation) are not provided.

Main Results

N/A (Not provided in the given text)

Contributions

• Introduction of a novel time-aware Siamese network architecture specifically tailored for crop classification.
• Utilization of spectrotemporal signatures from multidimensional data to enhance classification accuracy.

Funding

N/A (Not provided in the given text)

Citation

@article{Rehman2026Novel,
  author = {Rehman, Arif Ur and Zhang, Lifu and Chen, L. and Huang, Changping and Sun, Xuejian and Chang, Chein-I and Tong, Qingxi},
  title = {A Novel Time-Aware Siamese Network for Crop Classification Using Spectrotemporal Signatures Derived From Multidimensional Data Format},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2026},
  doi = {10.1109/tgrs.2026.3657338},
  url = {https://doi.org/10.1109/tgrs.2026.3657338}
}