The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …

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 …

Change detection (CD) is one of the main applications of remote sensing. With the
increasing popularity of deep learning, most recent developments of CD methods have …

We present a novel convolutional neural network (CNN)-based change detection framework
for locating changed building instances as well as changed building pixels from very high …

Urban planning and management need accurate three-dimensional (3D) data such as light
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …

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 …

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 …

Change detection is an important step for the characterization of object dynamics at the
earth's surface. In multi-temporal point clouds, the main challenge is to detect true changes …

Detecting topographic changes in an urban environment and keeping city-level point clouds
up-to-date are important tasks for urban planning and monitoring. In practice, remote …

Detecting topographic changes in the urban environment has always been an important task
for urban planning and monitoring. In practice, remote sensing data are often available in …