EVALUATION AND OPTIMISATION OF CROWD-BASED COLLECTION OF TREES FROM 3D POINT CLOUDS [PDF]
The term "Crowdsourcing" goes back to Jeff Howe (Howe, 2006) and represents a neologism of the words "crowd" and "outsourcing". Unlike outsourcing, where companies outsource certain tasks to known third parties, crowdsourcing outsources tasks to unknown ...
V. Walter, M. Kölle, Y. Yin
doaj +1 more source
IMPROVING THE INTERNAL ACCURACY OF UAV-IMAGE BLOCKS USING LOCAL LOW-ALTITUDE FLIGHTS AND SCALE-BARS [PDF]
Accurate image-based measurement based on UAV data is attracting attention in various applications. While the external accuracy of the UAV image blocks could be mainly affected by object-space information like number and distribution of ground control ...
M. Maboudi +3 more
doaj +1 more source
AUTOMATIC CLASSIFICATION OF AERIAL IMAGERY FOR URBAN HYDROLOGICAL APPLICATIONS [PDF]
In this paper we investigate the potential of automatic supervised classification for urban hydrological applications. In particular, we contribute to runoff simulations using hydrodynamic urban drainage models. In order to assess whether the capacity of
A. Paul +8 more
doaj +1 more source
COOPERATIVE IMAGE ORIENTATION CONSIDERING DYNAMIC OBJECTS [PDF]
In the context of image orientation, it is commonly assumed that the environment is completely static. This is why dynamic elements are typically filtered out using robust estimation procedures.
P. Trusheim +3 more
doaj +1 more source
Uncontrolled refraction of optical rays in underwater photogrammetry is known to reduce its accuracy potential. Several strategies have been proposed aiming at restoring the accuracy to levels comparable with photogrammetry applied in air.
Menna F., Nocerino E., Gruen A.
core +1 more source
Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry [PDF]
We present a new generic method for shadow-aware multi-view satellite photogrammetry of Earth Observation scenes. Our proposed method, the Shadow Neural Radiance Field (S-NeRF) follows recent advances in implicit volumetric representation learning.
Dawa Derksen, D. Izzo
semanticscholar +1 more source
An Approach for RGB-Guided Dense 3D Displacement Estimation in TLS-Based Geomonitoring [PDF]
Estimating 3D deformation with high spatial resolution from TLS point clouds is beneficial for geomonitoring. Existing methods for this task primarily rely on geometric data. They do not use radiometric information although it is often available as well.
Z. Wang +6 more
doaj +1 more source
CORRECT USE OF COLOR FOR CULTURAL HERITAGE DOCUMENTATION [PDF]
Accurate color recording is a fundamental feature for proper cultural heritage documentation, cataloging and preservation. However, the methodology used in most cases limits the results since it is based either on perceptual procedures or on the ...
A. Molada-Tebar +2 more
doaj +1 more source
3D CLASSIFICATION OF CROSSROADS FROM MULTIPLE AERIAL IMAGES USING MARKOV RANDOM FIELDS [PDF]
The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a probabilistic model that can be used to consider ...
S. Kosov +4 more
doaj +1 more source
ASSESSING THE ALIGNMENT BETWEEN GEOMETRY AND COLORS IN TLS COLORED POINT CLOUDS [PDF]
The integration of the color information from RGB cameras with the point cloud geometry is used in numerous applications. However, little attention has been paid on errors that occur when aligning colors to points in terrestrial laser scanning (TLS ...
Z. Wang, M. Varga, T. Medić, A. Wieser
doaj +1 more source

