Data Handling in Large-Scale Surface Reconstruction

2015 ◽  
pp. 499-511 ◽  
Author(s):  
Thomas Wiemann ◽  
Marcel Mrozinski ◽  
Dominik Feldschnieders ◽  
Kai Lingemann ◽  
Joachim Hertzberg
Keyword(s):  
Surface Reconstruction ◽  
Large Scale ◽  
Data Handling ◽  
Scale Surface

scholarly journals 3D OCTREE BASED WATERTIGHT MESH GENERATION FROM UBIQUITOUS DATA

2015 ◽  
Vol XL-3/W3 ◽  
pp. 613-617 ◽  
Author(s):  
L. Caraffa ◽  
M. Brédif ◽  
B. Vallet
Keyword(s):  
Surface Reconstruction ◽  
Mesh Generation ◽  
Large Scale ◽  
Reconstruction Algorithm ◽  
Terrestrial Lidar ◽  
Optimization Framework ◽  
Binary Segmentation ◽  
Mass Functions ◽  
Interesting Solution ◽  
Scale Surface

Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain an interesting solution for a first step surface reconstruction. In this paper, we propose a generic framework for a octree cell based mesh generation. Its input is a set of Lidar-based 3D measurements or other inputs which are formulated as a set of mass functions that characterize the level of confidence on the occupancy of each octree’s leaf. The output is a binary segmentation of the space between <i>occupied</i> and <i>empty</i> areas by taking into account the uncertainty of data. To this end, the problem is then reduced to a global energy optimization framework efficiently optimized with a min-cut approach. We use the approach for producing a large scale surface reconstruction algorithm by merging data from ubiquitous sources like airborne, terrestrial Lidar data, occupancy map and extra cues. Once the surface is computed, a solution is proposed for texturing the mesh.

Large-scale preparation of a 3D patchy surface with dissimilar dendritic amphiphiles

Soft Matter ◽  
2018 ◽  
Vol 14 (6) ◽  
pp. 1043-1049 ◽  
Author(s):  
Yanyan Feng ◽  
Yujia Wan ◽  
Ming Jin ◽  
Decheng Wan
Keyword(s):  
Large Scale ◽  
Large Scale Preparation ◽  
Porous Monolith ◽  
Scale Preparation ◽  
Surface Decoration ◽  
Scale Surface

We show here the first example of the large-scale surface decoration of a macroscopic and porous monolith with dissimilar micropatches.

scholarly journals Modeling of Thermal Effects in Semiconductor Structures

VLSI Design ◽  
1998 ◽  
Vol 8 (1-4) ◽  
pp. 53-58
Author(s):  
Christopher M. Snowden
Keyword(s):  
Thermal Effects ◽  
Large Scale ◽  
High Electron Mobility Transistors ◽  
Thermal Modelling ◽  
High Electron ◽  
Temperature Model ◽  
Active Devices ◽  
Electron Mobility Transistors ◽  
Fully Coupled ◽  
Scale Surface

A fully coupled electro-thermal hydrodynamic model is described which is suitable for modelling active devices. The model is applied to the non-isothermal simulation of pseudomorphic high electron mobility transistors (pHEMTs). A large-scale surface temperature model is described which allows thermal modelling of semiconductor devices and monolithic circuits. An example of the application of thermal modelling to monolithic circuit characterization is given.

scholarly journals Large‐Scale Surface Shape Sensing with Learning‐Based Computational Mechanics

2021 ◽  
pp. 2100089 ◽  
Author(s):  
Kui Wang ◽  
Chi‐Hin Mak ◽  
Justin D. L. Ho ◽  
Zhiyu Liu ◽  
Kam‐Yim Sze ◽  
...  
Keyword(s):  
Large Scale ◽  
Computational Mechanics ◽  
Surface Shape ◽  
Shape Sensing ◽  
Scale Surface

scholarly journals Effects of decimetre-scale surface roughness on L-band Brightness Temperature of Sea Ice

2019 ◽  
Author(s):  
Maciej Miernecki ◽  
Lars Kaleschke ◽  
Nina Maaß ◽  
Stefan Hendricks ◽  
Sten Schmidl Søbjrg
Keyword(s):  
Surface Roughness ◽  
Sea Ice ◽  
Brightness Temperature ◽  
Large Scale ◽  
Ice Thickness ◽  
Emission Model ◽  
Vertical Polarization ◽  
Sea Ice Thickness ◽  
L Band ◽  
Scale Surface

Abstract. Sea ice thickness measurements with L-band radiometry is a technique which allows daily, weather-independent monitoring of the polar sea ice cover. The sea-ice thickness retrieval algorithms relay on the sensitivity of the L-band brightness temperature to sea-ice thickness. In this work, we investigate the decimetre-scale surface roughness as a factor influencing the L-band emissions from sea ice. We used an airborne laser scanner to construct a digital elevation model of the sea ice surface. We found that the probability density function of surface slopes is exponential for a range of degrees of roughness. Then we applied the geometrical optics, bounded with the MIcrowave L-band LAyered Sea ice emission model in the Monte Carlo simulation to simulate the effects of surface roughness. According to this simulations, the most affected by surface roughness is the vertical polarization around Brewster's angle, where the decrease in brightness temperature can reach 8 K. The vertical polarization for the same configuration exhibits a 4 K increase. The near-nadir angles are little affected, up to 2.6 K decrease for the most deformed ice. Overall the effects of large-scale surface roughness can be expressed as a superposition of two factors: the change in intensity and the polarization mixing. The first factor depends on surface permittivity, second shows little dependence on it. Comparison of the brightness temperature simulations with the radiometer data does not yield definite results.

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