Kong et al. (2026) A Fine Extraction Method for Farmland Plots Based on Remote Sensing With Semantic and Edge Feature Fusion
Identification
- Journal: IEEE Transactions on Geoscience and Remote Sensing
- Year: 2026
- Date: 2026-01-01
- Authors: Kaixin Kong, Xiaoxia Yang, Chengming Zhang, Jinlong Fan, Feng Li, Menxin Wu, Xuehui Hou, Lin Ding
- DOI: 10.1109/tgrs.2026.3656823
Research Groups
Not provided in the given text.
Short Summary
This paper introduces a novel method for the fine-grained extraction of farmland plots from remote sensing imagery, leveraging the fusion of semantic and edge features to enhance extraction accuracy.
Objective
- To develop and evaluate a fine extraction method for farmland plots based on remote sensing, specifically by integrating semantic and edge features.
Study Configuration
- Spatial Scale: Fine-grained, targeting individual farmland plots. Specific resolution (e.g., meters per pixel) not provided.
- Temporal Scale: Not explicitly stated, but remote sensing data acquisition implies specific time points or intervals.
Methodology and Data
- Models used: A method based on "Semantic and Edge Feature Fusion," likely involving deep learning or advanced image processing techniques for feature extraction and segmentation. Specific model architectures (e.g., CNN variants) are not detailed.
- Data sources: Remote sensing imagery. Specific platforms (e.g., satellite, aerial) or sensors are not provided.
Main Results
Specific quantitative results, performance metrics, or comparative analyses are not provided in the given text.
Contributions
Specific contributions beyond the proposed method itself, such as improvements over existing state-of-the-art or novel theoretical insights, are not detailed in the given text.
Funding
Not provided in the given text.
Citation
@article{Kong2026Fine,
author = {Kong, Kaixin and Yang, Xiaoxia and Zhang, Chengming and Fan, Jinlong and Li, Feng and Wu, Menxin and Hou, Xuehui and Ding, Lin},
title = {A Fine Extraction Method for Farmland Plots Based on Remote Sensing With Semantic and Edge Feature Fusion},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
year = {2026},
doi = {10.1109/tgrs.2026.3656823},
url = {https://doi.org/10.1109/tgrs.2026.3656823}
}
Original Source: https://doi.org/10.1109/tgrs.2026.3656823