Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …

Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …

Recently, the first foundation model developed specifically for image segmentation tasks
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …

Road information from high-resolution remote-sensing images is widely used in various
fields, and deep-learning-based methods have effectively shown high road-extraction …

Road extraction from remote sensing imagery is a popular and frontier research focus, since
road information plays an essential role in application fields, such as urban management …

Earth observation (EO), aiming at monitoring the state of planet Earth using remote sensing
data, is critical for improving our daily lives and living environment. With a growing number …

Extracting roads from complex high-resolution remote sensing images to update road
networks has become a recent research focus. How to apply the contextual spatial …

In the construction of new smart cities, traditional fire-detection systems can be replaced with
vision-based systems to establish fire safety in society using emerging technologies, such as …

Remote sensing is a tool of interest for a large variety of applications. It is becoming
increasingly more useful with the growing amount of available remote sensing data …

Accurate and quick building damage assessment is an indispensable step after a
destructive earthquake. Acquiring building damage information of the seismic area in a …