A SAR Road Extraction Method Based on Dense Connection and Hybird Attention

As an essential task in remote sensing field, the result of road extraction on Synthetic Aperture Radar (SAR) image is still unsatisfactory, especially for the low resolution SAR images. A potential reason is the extremely low ratio of road pixels to the background ones, obstructing the network from extracting sufficient information for road extraction. To address this issue, we propose an approach to combine dense connection and U-Net to fully exploit the potential information of road regions. In addition, attention mechanism is introduced to guide the network focus more on the region-of-interest. Comprehensive experiments on our own dataset demonstrate that the proposed approach outperforms state-of-the-art methods by large margins on the road extraction task, especially for the low resolution images.