A NOVEL DATA AUGMENTATION METHOD TO ENHANCE THE TRAINING DATASET FOR ROAD EXTRACTION FROM SWISS HISTORICAL MAPS

Long-term retrospective road data are required for various analyses (e.g., investigation of urban sprawl, analysis of road network evolution).Yet, it is challenging to extract roads from scanned historical maps due to their dissatisfying quality.Although deep learning has been exerting its superiority in image segmentation, its application to road

When conducting tunnel construction in sandy gravel strata, disturbance to the sandy gravel soil is inevitable, resulting in alterations Cocktail Table with 2 Stools to the properties of the surrounding rock.This paper investigates the relationship between the relative density (Dr) and shear strength parameters under different disturbance states th