DyNeXtFusion-UNet: A Semantic Segmentation Model for Cropland Remote Sensing Imagery via Multi-Granularity Feature Fusion and Dynamic Upsampling
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Multiple high-performance modules are systematically integrated into the U-Net architecture to enhance the model’s capability for cropland feature optimization, extraction, and spatial reconstruction in remote sensing images, thereby significantly improving boundary delineation accuracy and segmentation integrity.
创建时间：
2025-11-28
