Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers
Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …
semantic label has become a topic of great importance in photogrammetry, remote sensing …
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas
Filtering of light detection and ranging (LiDAR) data into the ground and non-ground points
is a fundamental step in processing raw airborne LiDAR data. This paper proposes an …
is a fundamental step in processing raw airborne LiDAR data. This paper proposes an …
Distinctive 2D and 3D features for automated large-scale scene analysis in urban areas
We propose a new methodology for large-scale urban 3D scene analysis in terms of
automatically assigning 3D points the respective semantic labels. The methodology focuses …
automatically assigning 3D points the respective semantic labels. The methodology focuses …
Quantifying surface fuels for fire modelling in temperate forests using airborne lidar and Sentinel-2: potential and limitations
Surface fuel information is an essential input for models of fire behaviour and fire effects.
However, spatially explicit, continuous information on surface fuel loads and fuelbed depth …
However, spatially explicit, continuous information on surface fuel loads and fuelbed depth …
A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds
In this paper, we introduce a mathematical framework for obtaining spatially smooth
semantic labelings of 3D point clouds from a pointwise classification. We argue that …
semantic labelings of 3D point clouds from a pointwise classification. We argue that …
[图书][B] Reconstruction and analysis of 3D scenes
M Weinmann - 2016 - Springer
The fully automatic processing and analysis of 3D point clouds represents a topic of major
interest in the fields of photogrammetry, remote sensing, computer vision, and robotics …
interest in the fields of photogrammetry, remote sensing, computer vision, and robotics …
A point-based fully convolutional neural network for airborne LiDAR ground point filtering in forested environments
Airborne laser scanning (ALS) data is one of the most commonly used data for terrain
products generation. Filtering ground points is a prerequisite step for ALS data processing …
products generation. Filtering ground points is a prerequisite step for ALS data processing …
Detecting shrub encroachment in seminatural grasslands using UAS LiDAR
Shrub encroachment in seminatural grasslands threatens local biodiversity unless
management is applied to reduce shrub density. Dense vegetation of Cytisus scoparius …
management is applied to reduce shrub density. Dense vegetation of Cytisus scoparius …
Analytical and numerical investigations on the accuracy and robustness of geometric features extracted from 3D point cloud data
In photogrammetry, remote sensing, computer vision and robotics, a topic of major interest is
represented by the automatic analysis of 3D point cloud data. This task often relies on the …
represented by the automatic analysis of 3D point cloud data. This task often relies on the …
[HTML][HTML] Automatic filtering and classification of low-density airborne laser scanner clouds in shrubland environments
The monitoring of shrublands plays a fundamental role, from an ecological and climatic point
of view, in biodiversity conservation, carbon stock estimates, and climate-change impact …
of view, in biodiversity conservation, carbon stock estimates, and climate-change impact …