基于频率域可分离卷积的遥感图像道路分割方法OA北大核心CSTPCD

Segmentation of roads from remote sensing images is a challenging topic.Previously,most methods relied on convolutional neural networks,but these network models are difficult to capture long-distance feature information.The attention mechanism is known for its global vision,but it brings high computation burden.Convolution in frequency domain provides a novel mechanism to capture features over long-range,and an asymmetric convolution structure is introduced …查看全部>>