DyNeXtFusion-UNet: A Semantic Segmentation Model for Cropland Remote Sensing Imagery via Multi-Granularity Feature Fusion and Dynamic Upsampling
收藏Figshare2025-11-28 更新2026-04-08 收录
下载链接：
https://figshare.com/articles/dataset/DyNeXtFusion-UNet_A_Semantic_Segmentation_Model_for_Cropland_Remote_Sensing_Imagery_via_Multi-Granularity_Feature_Fusion_and_Dynamic_Upsampling/30737156/1
下载链接
链接失效反馈官方服务：
资源简介：
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.
提供机构：
Liang, Jiaping; Wang, Xiaoxuan; Yang, Qiliang; Li, Jie; Wang, Liuyanjun; Zhong, Yuhui; Yan, Chaohui
创建时间：
2025-11-28
