Airborne light detection and ranging (LiDAR) has now become industry standard tool for
collecting accurate and dense topographic data at very high speed. These data have found …

Charts or scientific plots are widely used visualizations for efficient knowledge dissemination
from datasets. However, these charts are predominantly available in image format. There …

Charts are an essential part of both graphicacy (graphical literacy), and statistical literacy. As
chart understanding has become increasingly relevant in data science, automating chart …

Topographic Light Detection and Ranging (LiDAR) captures geometric information of the
topography of a geographical region, often using airborne platforms. The research and …

Charts or scientific plots are widely used visualizations for efficient knowledge dissemination
from datasets. Nowadays, these charts are predominantly available in image format in print …

Multiple spatial scales have been used extensively for feature extraction from light detection
and ranging (LiDAR) point clouds. These features have been used for semantic …

Structural or geometric classification of three-dimensional (3D) point clouds of urban regions
from airborne LiDAR enables feature (object-based) classification, and 3D reconstruction …

Managing and processing large-scale point clouds are much needed for the exploration and
contextual understanding of the data. Hence, we explore the use of a widely used big data …

Airborne LiDAR datasets, in the form of three-dimensional point clouds, provide geometric
information, owing to their spatial nature. Their popularity as a geospatial data acquisition …

For semantic classification of LiDAR point clouds, the features derived from the local
geometric descriptors are routinely used as features in (supervised) learning algorithms. In …