Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Pavement, as a kind of common public transit infrastructure, plays an important part in the
daily passing and transportation-associated activities. The good conditions and smooth …

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 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 …

Semantic segmentation plays a pivotal role in the intelligent interpretation of remote sensing
images (RSIs). However, conventional methods predominantly focus on learning …

The high-precision generation of 3D building models is a controversial research topic in the
field of smart cities. However, due to the limitations of single-source data, existing methods …

The acceleration of urbanization and the increasing demand for precise city planning have
made the extraction of buildings and roads from remote sensing images crucial. Deep …

Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …

Semantic segmentation in 3D meshes is the classification of its constituent element (s) into
specific classes or categories. Using the powerful feature extraction abilities of deep neural …

Semantic segmentation of remote sensing images (SSRSIs), which aims to assign a
category to each pixel in remote sensing images, plays a vital role in a broad range of …