Zobrazeno 1 - 10
of 79
pro vyhledávání: '"H Sardemann"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-2024, Pp 289-295 (2024)
A common problem when imaging and measuring through moving water surfaces is the quasi-random refraction caused by waves. The article presents two strategies to overcome this problem by lowering the complexity down to a planer air/water interface pro
Externí odkaz:
https://doaj.org/article/fe99b197b4394d09beb30b8dccacc140
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-2024, Pp 341-348 (2024)
LiDAR bathymetry provides an efficient and comprehensive way to capture the topography of water bodies in shallow water areas. However, the penetration depth of this measurement method into the water column is limited by the medium water and water tu
Externí odkaz:
https://doaj.org/article/a51166fdd7ba4f768121f1c8bd411a69
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-2024, Pp 363-369 (2024)
If multimedia-photogrammetry is used for the generation of point clouds of submerged objects or of the water bottom, Snell’s law has to be considered. When the images are taken from air, image rays are refracted at the air-water interface. This res
Externí odkaz:
https://doaj.org/article/c51f2f282e7c4723829f1409e0a79129
Autor:
F. Maiwald, H. Sardemann
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 823-829 (2022)
Digitalization in archives provides access to an ever-increasing amount of historical photographs. As most of these are not taken by photogrammetric experts it is of interest if these images can be integrated into photogrammetric workflows in order t
Externí odkaz:
https://doaj.org/article/f4662c5494e247a19ec6f75b26b82403
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 689-692 (2021)
This paper will describe a novel approach for the calibration of an underwater laser triangulation system. Underwater triangulation systems, consisting of a line laser and a camera can be used to determine the geometry of submerged objects or the top
Externí odkaz:
https://doaj.org/article/44ce3edba2df4e6c89f953cc14b3577a
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 1429-1445 (2020)
An automatic workflow to measure surface flow velocities in rivers is introduced, including a Python tool. The method is based on particle-tracking velocimetry (PTV) and comprises an automatic definition of the search area for particles to track. Tra
Externí odkaz:
https://doaj.org/article/d0ef68daeaaf4e31b7b7deb7aedd3488
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 1023-1027 (2018)
Rivers with small- and medium-scaled catchments have been increasingly affected by extreme events, i.e. flash floods, in the last years. New methods to describe and predict these events are developed in the interdisciplinary research project EXTRUSO.
Externí odkaz:
https://doaj.org/article/033c68e8c7594f1896016c1a5693f53e
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2, Pp 201-208 (2018)
An automatic spatio-temporal flow velocity measurement approach, using an uncooled thermal camera, is proposed in this paper. The basic principle of the method is to track visible thermal features at the water surface in thermal camera image sequence
Externí odkaz:
https://doaj.org/article/b2d732f38235497685aca651faa8e518
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