Manual Point Cloud Registration for Combined Ice Roughness and Ice Thickness Measurements

2016 ◽  
Author(s):  
Stephen T. McClain
Keyword(s):  
Point Cloud ◽  
Ice Thickness ◽  
Point Cloud Registration ◽  
Ice Roughness ◽  
Thickness Measurements

Point Cloud Registration Algorithm Combined Gaussian Mixture Model and Point-to-Plane Metric

2018 ◽  
Vol 30 (4) ◽  
pp. 642
Author(s):  
Guichao Lin ◽  
Yunchao Tang ◽  
Xiangjun Zou ◽  
Qing Zhang ◽  
Xiaojie Shi ◽  
...  
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Point Cloud ◽  
Gaussian Mixture ◽  
Point Cloud Registration ◽  
Registration Algorithm

scholarly journals Graphite: Graph-Induced Feature Extraction for Point Cloud Registration

2020 ◽  
Author(s):  
Mahdi Saleh ◽  
Shervin Dehghani ◽  
Benjamin Busam ◽  
Nassir Navab ◽  
Federico Tombari
Keyword(s):  
Feature Extraction ◽  
Point Cloud ◽  
Point Cloud Registration

scholarly journals Coherent radar ice thickness measurements over the Greenland ice sheet

2001 ◽  
Vol 106 (D24) ◽  
pp. 33761-33772 ◽  
Author(s):  
S. Gogineni ◽  
D. Tammana ◽  
D. Braaten ◽  
C. Leuschen ◽  
T. Akins ◽  
...  
Keyword(s):  
Ice Sheet ◽  
Greenland Ice Sheet ◽  
Ice Thickness ◽  
Coherent Radar ◽  
Thickness Measurements

scholarly journals TEASER: Fast and Certifiable Point Cloud Registration

2020 ◽  
pp. 1-20
Author(s):  
Heng Yang ◽  
Jingnan Shi ◽  
Luca Carlone
Keyword(s):  
Point Cloud ◽  
Point Cloud Registration

scholarly journals Measuring and inferring the ice thickness distribution of four glaciers in the Tien Shan, Kyrgyzstan

2020 ◽  
pp. 1-18
Author(s):  
Lander Van Tricht ◽  
Philippe Huybrechts ◽  
Jonas Van Breedam ◽  
Johannes J. Fürst ◽  
Oleg Rybak ◽  
...  
Keyword(s):  
Cross Validation ◽  
Thickness Distribution ◽  
Tien Shan ◽  
Ice Thickness ◽  
Ice Volume ◽  
In Situ Data ◽  
Radio Echo Sounding ◽  
Thickness Measurements ◽  
Tien Shan Mountains

Abstract Glaciers in the Tien Shan mountains contribute considerably to the fresh water used for irrigation, households and energy supply in the dry lowland areas of Kyrgyzstan and its neighbouring countries. To date, reconstructions of the current ice volume and ice thickness distribution remain scarce, and accurate data are largely lacking at the local scale. Here, we present a detailed ice thickness distribution of Ashu-Tor, Bordu, Golubin and Kara-Batkak glaciers derived from radio-echo sounding measurements and modelling. All the ice thickness measurements are used to calibrate three individual models to estimate the ice thickness in inaccessible areas. A cross-validation between modelled and measured ice thickness for a subset of the data is performed to attribute a weight to every model and to assemble a final composite ice thickness distribution for every glacier. Results reveal the thickest ice on Ashu-Tor glacier with values up to 201 ± 12 m. The ice thickness measurements and distributions are also compared with estimates composed without the use of in situ data. These estimates approach the total ice volume well, but local ice thicknesses vary substantially.

Part-in-whole point cloud registration for aircraft partial scan automated localization

2021 ◽  
Vol 137 ◽  
pp. 103042
Author(s):  
Qian Xie ◽  
Yiming Zhang ◽  
Xuanming Cao ◽  
Yabin Xu ◽  
Dening Lu ◽  
...  
Keyword(s):  
Point Cloud ◽  
Point Cloud Registration ◽  
Partial Scan
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