The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …

Capturing and quantifying the world in three dimensions (x, y, z) using light detection and
ranging (lidar) technology drives fundamental advances in the Earth and Ecological …

The application of advanced remote sensing technologies, including terrestrial laser
scanning (TLS), to the Earth sciences has increased rapidly in the last two decades …

In the last two decades, airborne laser scanning (ALS) has found widespread application
and driven fundamental advances in the Earth sciences. With increasing availability and …

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 of high practical value to hazard assessment, crop growth monitoring,
and urban sprawl detection. A synthetic aperture radar (SAR) image is the ideal information …

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 …

This paper suggests a new approach for change detection (CD) in 3D point clouds. It
combines classification and CD in one step using machine learning. The point cloud data of …

This paper describes recent efforts that incorporate remote sensing techniques and
platforms into geotechnical earthquake reconnaissance to document damage patterns …

Remote sensing in structural diagnostics has recently been gaining attention. These
techniques allow the creation of three-dimensional projections of the measured objects, and …