The unexpectedly high number of deaths caused by inadequate medical care is, to date,
considered as a serious problem. Moreover, the ratio of elderly people who require …

Roads are the fundamental elements of transportation, connecting cities and rural areas, as
well as people's lives and work. They play a significant role in various areas such as map …

Accurate and efficient map** of road networks is crucial for evaluating urban
development, transportation accessibility, and environmental impact. However, existing road …

In this paper, a novel framework for the automatic extraction of road footprints from airborne
LiDAR point clouds in urban areas is proposed. The extraction process consisted of three …

With the development of deep learning and remote sensing technologies in recent years,
many semantic segmentation methods based on convolutional neural networks (CNNs) …

Deep learning techniques have been applied to extract road areas from remote sensing
images, leveraging their efficient and intelligent advantages. However, the contradiction …

Roads can be significant traffic lifelines that can be damaged by collapsed tree branches,
landslide rubble, and buildings debris. Thus, road damage detection and evaluation by …

Extracting road information from high-resolution remote sensing images (HRI) can provide
crucial geographic information for many applications. With the improvement of remote …

The construction of sustainable road and highway networks in the world, despite numerous
feasibility, pre-feasibility and execution studies, are always confronted with the demands …

For a long time, the idea of fusing synthetic radar imagery (SAR) and higher-resolution
panchromatic imagery, with the aim of increasing the spatial resolution of radar imagery, has …