Pavement cracks are a common and significant problem for intelligent pavement
maintainment. However, the features extracted in pavement images are often texture-less …

In recent years, undesirable disasters attacked the cities frequently, leaving heavy casualties
and serious economic losses. Meanwhile, disaster detection based on the Internet of Things …

Aiming at improving the quality and efficiency of urban road extraction from High-Resolution
Remote Sensing Image (HRRSI), this paper focuses on the top-to-down modeling …

Many precious ancient murals are seriously deteriorated due to long-term environmental
influences and man-made destructions. How to effectively protect ancient murals and restore …

This research addresses the critical task of road network extraction from satellite images
within the context of satellite IoT environments in urban planning and disaster management …

Improving the performance and reducing the training cost of road extraction models in the
absence of samples is important for updating road maps. Despite the success of recent road …

Road segmentation is a fundamental task for dynamic map in unmanned aerial vehicle
(UAV) path navigation. In unplanned, unknown and even damaged areas, there are usually …

Geographic information about the road is an important type of basic geographic information.
The extraction of road information plays a crucial role in urban planning, management of …

Seasonal floods are an important barrier to healthcare access in low-income countries, with
recognised implications of increased morbidity and mortality. Effective interventions require …

Road detection from high-resolution satellite images (HRSI) is critical for various
applications such as urban planning and emergency response, yet manual approaches are …