Abstract The Extraction of Roads from Remote Sensing Imagery is a rapidly developing field
that has significant impacts on both the economic and social domains. In the fields of urban …

Road extraction from a remote sensing image is a research hotspot due to its broad range of
applications. Despite recent advancements, achieving precise road extraction remains …

Extracting roads from remote sensing images is of significant importance for automatic road
network updating, urban planning, and construction. However, various factors in complex …

Rapid progress has been made in the research of high-resolution remote sensing road
extraction tasks in the past years but due to the diversity of road types and the complexity of …

Road extraction from high-resolution remote sensing images has long been a focal and
challenging research topic in the field of computer vision. Accurate extraction of road …

Road network data are an important part of many applications, eg, intelligent transportation
and urban planning. At present, most of the approaches to road network generation are …

Road extraction from high-resolution remote sensing images (HRSI) is confronted with the
challenge that roads are occluded by other objects, including opaque obstructions and …

Remote sensing images contain many objects that resemble road structures, making it
difficult to distinguish roads from the background. Moreover, road extraction is affected by …

Landslides pose significant risks as natural disasters, highlighting the importance of
accurate mapping using remote sensing images for various practical applications. However …

Extracting road networks from remote sensing images holds critical implications for various
applications including autonomous driving, path planning, and road navigation. Despite its …