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 …

Over recent decades, 3D point clouds have been a popular data source applied in automatic
change detection in a wide variety of applications. Compared with 2D images, using 3D …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

Automatic construction progress documentation and metric evaluation of execution work in
confined building interiors requires particularly reliable geometric evaluation and …

Multi-spatial-resolution change detection is a newly proposed issue and it is of great
significance in remote sensing, environmental and land use monitoring, etc. Though multi …

Satellite images provide an accurate, continuous, and synoptic view of seamless global
extent. Within the fields of remote sensing and image processing, land surface change …

The semantic labeling of the urban area is an essential but challenging task for a wide
variety of applications such as map**, navigation, and monitoring. The rapid advance in …

Change detection has been increasingly studied in remote and close-range sensing in the
last decades, driven by its importance in environment monitoring and database updating …

As the key to the construction progress monitoring, methods and strategies for change
detection using 3D point clouds from various sources have been investigated for years …

Semantic labeling is an essential but challenging task when interpreting point clouds of 3D
scenes. As a core step for scene interpretation, semantic labeling is the task of annotating …