FieldMapper: Automated Agricultural Field Delineation via Vision Foundation Model and Machinery Trajectories
Shuliang Wang, Haoyu Han, Sijie Ruan*, Ziyu Wang, Ziqiang Yuan, Yeting Zhang, Hanning Yuan and Caicong Wu
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025
Recommended citation: S. Wang et al., "FieldMapper: Automated Agricultural Field Delineation via Vision Foundation Model and Machinery Trajectories," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 26054-26067, 2025, doi: 10.1109/JSTARS.2025.3618149.
URL: https://ieeexplore.ieee.org/document/11193714
FieldMapper achieves high-precision agricultural field boundary extraction by fusing remote sensing imagery and agricultural machinery trajectory data, leveraging the instance segmentation capabilities of SAM, without the need for dense manual annotation.