Jing et al. (2025) Estimation of Fractional Vegetation Cover From Fully Polarimetric SAR Data via Multidimensional Feature Selection and Model Optimization

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2025
• Date: 2025-12-02
• Authors: Bo Jing, Yabo Huang, Xiaorui Shi, Jianhui Zhao, Lin Wu, Ning Li, Haipeng Wang
• DOI: 10.1109/jstars.2025.3639285

Research Groups

This paper focuses on estimating fractional vegetation cover using fully polarimetric Synthetic Aperture Radar (SAR) data, employing multidimensional feature selection and model optimization.

Objective

• To estimate fractional vegetation cover from fully polarimetric Synthetic Aperture Radar (SAR) data using multidimensional feature selection and model optimization.

Study Configuration

• Spatial Scale:
• Temporal Scale:

Methodology and Data

• Models used: Multidimensional Feature Selection, Model Optimization
• Data sources: Fully Polarimetric SAR Data

Main Results

Contributions

Funding

Citation

@article{Jing2025Estimation,
  author = {Jing, Bo and Huang, Yabo and Shi, Xiaorui and Zhao, Jianhui and Wu, Lin and Li, Ning and Wang, Haipeng},
  title = {Estimation of Fractional Vegetation Cover From Fully Polarimetric SAR Data via Multidimensional Feature Selection and Model Optimization},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2025},
  doi = {10.1109/jstars.2025.3639285},
  url = {https://doi.org/10.1109/jstars.2025.3639285}
}