In high-resolution remote sensing imagery, near-shore water bodies typically exhibit tortuous shorelines, fragmented lakeshore coves, and superimposed disturbances such as building reflections, vegetation shadows, and mixed substrates, posing significant challenges to the fine extraction of water boundaries. Although deep learning-based semantic segmentation has substantially improved water body recognition accuracy, most existing methods focus on global context modeling while paying insufficien