NIR-RGB-M<sup>2</sup>Net: A Fusion Model for Precise Agricultural Field Segmentation Using Multisource Remote Sensing Data
Precise extraction of agricultural field parcels is critical for resource management and yield prediction. Multisource remote sensing combines near-infrared (NIR) and visible light (RGB) data to leverage complementary features, but fusing these modalities often requires complex networks that risk lo...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11105414/ |
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