Zobrazeno 1 - 8
of 8
pro vyhledávání: '"L. E. Budde"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W3-2023, Pp 25-30 (2023)
Open science is an important attribute for developing new approaches. Especially, the data component plays a significant role. The FAIR principle provides a good orientation towards open data. One part of FAIR is findability. Thus, domain specific da
Externí odkaz:
https://doaj.org/article/124de2c7d69a469e917dd0b3670ce29e
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W3-2023, Pp 17-23 (2023)
The FAIR principle (find, access, interoperability, reuse) forms a sustainable resource for scientific exchange between researchers. Currently, the implementation of this principle is an important process for future research projects. To support this
Externí odkaz:
https://doaj.org/article/e046e44af5684e5fa47307e709bb7b1c
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2022, Pp 187-193 (2022)
Data are a key component for many applications and methods in the domain of photogrammetry and remote sensing. Especially data-driven approaches such as deep learning rely heavily on available annotated data. The amount of data is increasing signific
Externí odkaz:
https://doaj.org/article/66ac53c244ad4a21ab896c843bb84f70
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 441-448 (2021)
Classification, and in particular semantic segmentation, plays a major role in remote sensing. In remote sensing, the classes usually correspond to landcover or landuse types while the data elements are image pixels. The results are so-called semanti
Externí odkaz:
https://doaj.org/article/e38da65a81844126933ef0f58509a07b
Autor:
C. Y. Cheah, N. L. Bartlett, S. Assouline, S. J. Schuster, W. Seog Kim, M. Shadman, I. Isufi, S. Yin, M. Y. Doral, J. Sit, V. Chen, H. Huang, M. Zhou, M. C. Wei, L. E. Budde
Publikováno v:
HemaSphere, Vol 6, Pp 1014-1015 (2022)
Externí odkaz:
https://doaj.org/article/0069574bb9d6406bbd9a8f3c726b366c
Autor:
M. Matasar, N. L. Bartlett, L. H. Sehn, S. J. Schuster, S. Assouline, P. Giri, J. Kuruvilla, M. Canales, S. Dietrich, K. Fay, M. Ku, L. J. Nastoupil, M. C. Wei, S. Yin, I. To, D. Turner, H. Huang, J. Min, E. Penuel, L. E. Budde
Publikováno v:
HemaSphere, Vol 6, Pp 1016-1017 (2022)
Externí odkaz:
https://doaj.org/article/51e2a67343e64261aae9d764a03201a1
Autor:
F. Locke, MD, Z.-H. Hu, MPH, J. Gerson, MD, M. J. Frank, PhD, L. E. Budde, PhD, M. Wang, MD, B. Logan, PhD, I. Kloos, PhD, R. Siddiqi, PhD, J. Shah, MD, H. Xu, PhD, M. Pasquini, MS
Publikováno v:
HemaSphere, Vol 6, Pp 1336-1337 (2022)
Externí odkaz:
https://doaj.org/article/90e3133ba05f40159f45c0c0678beed3
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 441-448 (2021)
Classification, and in particular semantic segmentation, plays a major role in remote sensing. In remote sensing, the classes usually correspond to landcover or landuse types while the data elements are image pixels. The results are so-called semanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75c2c987fdbead464f9431d99b426576
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/441/2021/isprs-archives-XLIII-B2-2021-441-2021.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/441/2021/isprs-archives-XLIII-B2-2021-441-2021.pdf