Zobrazeno 1 - 10
of 274
pro vyhledávání: '"Tiede, Dirk"'
Light Detection and Ranging (LiDAR) are fast emerging sensors in the field of Earth Observation. It is a remote sensing technology that utilizes laser beams to measure distances and create detailed three-dimensional representations of objects and env
Externí odkaz:
http://arxiv.org/abs/2312.10068
It is of interest to localize a ground-based LiDAR point cloud on remote sensing imagery. In this work, we tackle a subtask of this problem, i.e. to map a digital elevation model (DEM) rasterized from aerial LiDAR point cloud on the aerial imagery. W
Externí odkaz:
http://arxiv.org/abs/2204.07052
Publikováno v:
In Remote Sensing Applications: Society and Environment August 2024 35
Autor:
Grabska-Szwagrzyk, Ewa1 (AUTHOR) ewa2.grabska@uj.edu.pl, Tiede, Dirk2 (AUTHOR), Sudmanns, Martin2 (AUTHOR), Kozak, Jacek1 (AUTHOR)
Publikováno v:
Earth System Science Data. 2024, Vol. 16 Issue 6, p2877-2891. 15p.
Autor:
Ecke, Simon, Stehr, Florian, Frey, Julian, Tiede, Dirk, Dempewolf, Jan, Klemmt, Hans-Joachim, Endres, Ewald, Seifert, Thomas
Publikováno v:
In Computers and Electronics in Agriculture April 2024 219
Publikováno v:
In International Journal of Applied Earth Observation and Geoinformation March 2023 117
Capable of automated near real time superpixel detection and quality assessment in an uncalibrated monitor typical red green blue (RGB) image, depicted in either true or false colors, an original low level computer vision (CV) lightweight computer pr
Externí odkaz:
http://arxiv.org/abs/1701.01940
The European Space Agency (ESA) defines an Earth Observation (EO) Level 2 product as a multispectral (MS) image corrected for geometric, atmospheric, adjacency and topographic effects, stacked with its scene classification map (SCM) whose legend incl
Externí odkaz:
http://arxiv.org/abs/1701.01932
The European Space Agency (ESA) defines an Earth Observation (EO) Level 2 product as a multispectral (MS) image corrected for geometric, atmospheric, adjacency and topographic effects, stacked with its scene classification map (SCM), whose legend inc
Externí odkaz:
http://arxiv.org/abs/1701.01930
Akademický článek
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