Studies from Wuhan University Have Provided New Information about Networks (A Combination of Convolutional and Graph Neural Networks for Regularized Road Surface Extraction)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Research findings on Networks are discussed in a new report. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Road surface extraction from high-resolution remote sensing images has many engineering applications; however, extracting regularized and smooth road surface maps that reach the human delineation level is a very challenging task, and substantial and time-consuming manual work is usually unavoidable. In this article, to solve this problem, we propose a novel regularized road surface extraction framework by introducing a graph neural network (GNN) for processing the road graph that is preconstructed from the easily accessible road centerlines.”