Spin-image target detection algorithm applied to low density 3D point clouds

Abstract

Target detection in 3-dimensional (3D), irregular point cloud data sets is an emerging field of study among the remote sensing community. Airborne topographic light detection and ranging (i.e., Lidar) systems are capable of scanning areas with single-pass post spacings on the order 0.2m. Unfortunately, many of the current spatial search algorithms require… (More)

Topics

9 Figures and Tables

Slides referencing similar topics