Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Devrim Akca"'
Autor:
Efstratios Stylianidis, Devrim Akca, Daniela Poli, Martin Hofer, Armin Gruen, Victor Sanchez Martin, Konstantinos Smagas, Andreas Walli, Orhan Altan, Elisa Jimeno, Alejandro Garcia
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 8, Pp 854-885 (2020)
A 3D forest monitoring system, called FORSAT (a satellite very high resolution image processing platform for forest assessment), was developed for the extraction of 3D geometric forest information from very high resolution (VHR) satellite imagery and
Externí odkaz:
https://doaj.org/article/72a532046af546918108ba62bd5cd4eb
Autor:
Alejandro Garcia, Devrim Akca, Armin Gruen, Andreas Walli, K. Smagas, Elisa Jimeno, Orhan Altan, Efstratios Stylianidis, Daniela Poli, Martin Hofer, Victor Sanchez Martin
Publikováno v:
International Journal of Digital Earth, 13(8), 854-885. Taylor and Francis Ltd.
A 3D forest monitoring system, called FORSAT (a satellite very high resolution image processing platform for forest assessment), was developed for the extraction of 3D geometric forest information from very high resolution (VHR) satellite imagery and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb7e2d746f5072709a14afd8330310b
https://research.tue.nl/nl/publications/25d2e799-368e-4e23-9858-394ba4867776
https://research.tue.nl/nl/publications/25d2e799-368e-4e23-9858-394ba4867776
Autor:
Devrim Akca, Martin Hofer, Alejandro Garcia, Orhan Altan, K. Smagas, Efstratios Stylianidis, Victor Sanchez Martin, Daniela Poli, Andreas Walli, Armin Gruen, Elisa Jimeno
Publikováno v:
2019 9th International Conference on Recent Advances in Space Technologies (RAST).
Earth surface changes are often computed by comparing the sequences of digital elevation models (DEMs) so called the DEM of difference (DoD) method. We present an operational DEM generation, co-registration and DoD comparison software in which the su
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B5, Pp 557-563 (2016)
23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS) -- JUL 12-19, 2016 -- Prague, CZECH REPUBLIC
WOS: 000392739800080
The random error pattern of point clouds has significant effect on the quality of fin
WOS: 000392739800080
The random error pattern of point clouds has significant effect on the quality of fin
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 805-812 (2018)
This research was funded by TUBITAK – The Scientific and Technological Research Council of Turkey (Project ID: 115Y239) and by the Scientific Research Projects of Bülent Ecevit University (Project ID: 2015-47912266-01) A generic and practical meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9e788ea2f88171df003ba2cbf6f47a5
https://hdl.handle.net/11729/1440
https://hdl.handle.net/11729/1440
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-5-W2, Pp 25-30 (2013)
Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of coregistration is to merge the overlapping point clouds by estimating the spatial transformation parameters. In computer vision and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87092675de8110bd9e6ffe12ee28f779
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/25/2013/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/25/2013/
Publikováno v:
Landslides (online), 15(9)
Landslides, 15 (9)
Landslides, 15 (9)
Landslides, 15 (9)
ISSN:1612-510X
ISSN:1612-510X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b53ed34427607c08da864832ac92702a
Conference on Videometrics, Range Imaging, and Applications XIV -- JUN 26-27, 2017 -- Munich, GERMANY
WOS: 000412830800014
This work aims at developing a generic and anisotropic point error model, which is capable of computing magnitude and
WOS: 000412830800014
This work aims at developing a generic and anisotropic point error model, which is capable of computing magnitude and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa43ef8b9a990cf85aff0f9e45e3f621
https://aperta.ulakbim.gov.tr/record/45501
https://aperta.ulakbim.gov.tr/record/45501
Autor:
Devrim Akca, Hansjörg Seybold
A reduced complexity model, which simulates the process of fluvial inland-delta formation, has been developed in a previous study. The results have been compared and validated with a laboratory experiment. This work elaborates the laboratory investig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b65d3247d9eb8479fd603201ce71030
https://hdl.handle.net/11729/1071
https://hdl.handle.net/11729/1071
Publikováno v:
Scopus-Elsevier
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B5, Pp 151-155 (2012)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B5, Pp 151-155 (2012)
Co-registration of point clouds of partially scanned objects is the first step of the 3D modeling workflow. The aim of co-registration is to merge the overlapping point clouds by estimating the spatial transformation parameters. In the literature, on