Results 31 to 40 of about 695,725 (323)
Perfection of technology in compiling the optimal digital terrain model
Geodesy and Cartography, 2012 The article analyses digital terrain model accuracy dependence on both the terrain type and selected method for surface modeling. The authors suggest the technique to be able to split the surface into different categories of the terrain.
Algirdas Kumetaitis +1 more
doaj +1 more source
VEGETATION REMOVAL FROM UAV DERIVED DSMS, USING COMBINATION OF RGB AND NIR IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Current advancements on photogrammetric software along with affordability and wide spreading of Unmanned Aerial Vehicles (UAV), allow for rapid, timely and accurate 3D modelling and mapping of small to medium sized areas.
D. Skarlatos, M. Vlachos
doaj +1 more source
A comparison analysis of different photogrammetric softcopies for geodata production
Geodesy and Cartography, 2014 Up-to-date mapping technologies for geodata production are widely applicable in Remote Sensing and Photogrammetry Communities. Therefore, the education in Remote Sensing and photogrammetric methods becomes very important using different image processing ...
Mažena Voitechovič, Birutė Ruzgienė
doaj +1 more source
Terrain Modelling from Feature Primitives
, 2015 We introduce a compact hierarchical procedural model that combines feature‐based primitives to describe complex terrains with varying level of detail. Our model is inspired by skeletal implicit surfaces and defines the terrain elevation function by using
Génevaux, Jean‐David +6 more
core +1 more source
Integrating terrain knowledge into point cloud simplification for terrain modelling
, 2023 Terrain models are widely used to depict the shape of the Earth's surface. With the development of photogrammetric methods, point cloud data have become one of the most popular data sources for terrain modelling. However, the obtained point clouds are of
Jun Chen +3 more
core +1 more source
Modelling the spatial distribution of DEM Error
, 2005 Assessment of a DEM’s quality is usually undertaken by deriving a measure of DEM accuracy – how close the DEM’s elevation values are to the true elevation.
Carlisle, Bruce
core +1 more source
Digital terrain modeling with the Chebyshev polynomials
CoRR, 2015 Mathematical problems of digital terrain analysis include interpolation of digital elevation models (DEMs), DEM generalization and denoising, and computation of morphometric variables by calculation of partial derivatives of elevation. Traditionally, these procedures are based on numerical treatments of two-variable discrete functions of elevation.
Igor V. Florinsky, A. N. Pankratov
openaire +2 more sources
Advanced Materials, EarlyView.Inspired by the octopus and the golden wheel spider, soft robots with liquid crystal elastomer arc fibers as appendages are fabricated to transcend surface constraints through an elevated center of mass and minimal contact footprints. By leveraging curvature‐encoded deformation‐recovery cycles, these robots exhibit contractile, torsional, and flexural ...
Jong Bin Kim +5 more
wiley +1 more source
Application of Digital Terrain Model to volcanology
Annals of Geophysics, 2006 Three-dimensional reconstruction of the ground surface (Digital Terrain Model, DTM), derived by airborne GPS photogrammetric surveys, is a powerful tool for implementing morphological analysis in remote areas. High accurate 3D models, with submeter elevation accuracy, can be obtained by images acquired at photo scales between 1:5000-1:20000 ...
BALDI P +4 more
openaire +3 more sources
Sub-canopy terrain modelling for archaeological prospecting in forested areas through multiple-echo discrete-pulse laser ranging: a case study from Chopwell Wood, Tyne & Wear [PDF]
, 2011 Airborne Light Detection and Ranging (LiDAR) technology is assessed for its effectiveness as a tool for measuring terrain under forest canopy. To evaluate the capability of multiple-return discrete-pulse airborne laser ranging for detecting and resolving
LANDY, JACK
core