Abstract: The completeness of road extraction is very important for road application. However, existing deep learning (DP) methods of extraction often generate fragmented results. The prime reason is ...

// you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 #include ...

// you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 ...

Abstract: The integration of multimodal data holds great promise for advancing road extraction in remote sensing. However, existing approaches are limited by the lack of unified end-to-end frameworks ...