Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Stefan Schmohl"'
Autor:
Michael Kölle, Dominik Laupheimer, Stefan Schmohl, Norbert Haala, Franz Rottensteiner, Jan Dirk Wegner, Hugo Ledoux
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 1, Iss , Pp 100001- (2021)
Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially
Externí odkaz:
https://doaj.org/article/4208b04317964c79a1be75b6275f1b95
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1317 (2022)
Since trees are a vital part of urban green infrastructure, automatic mapping of individual urban trees is becoming increasingly important for city management and planning. Although deep-learning-based object detection networks are the state-of-the-a
Externí odkaz:
https://doaj.org/article/c91f58fa159a4f35a21e3e1d56637018
Publikováno v:
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 88:147-154
Within this paper, we present the implementation of a walkable virtual city model, created from aerial images of downtown Stuttgart. For this purpose, textured 3D meshes were automatically generated using commercial off-the-shelf multi-view stereo im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5f32459fb58d3d7ce1a0fba9e387ff
https://doi.org/10.1007/s41064-020-00106-z
https://doi.org/10.1007/s41064-020-00106-z
Publikováno v:
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 87:75-90
Deep learning, referring to artificial neural networks with multiple layers, is widely used for classification tasks in many disciplines including computer vision. The most popular type is the Convolutional Neural Network (CNN), commonly applied to 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49282ecca9284a131c36d83ea5e7d995
https://doi.org/10.1007/s41064-019-00073-0
https://doi.org/10.1007/s41064-019-00073-0
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687861
ICPR Workshops (7)
ICPR Workshops (7)
Supervised Machine Learning systems such as Convolutional Neural Networks (CNNs) are known for their great need for labeled data. However, in case of geospatial data and especially in terms of Airborne Laserscanning (ALS) point clouds, labeled data i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ec00da7658ed83252092139cf4994d0
https://doi.org/10.1007/978-3-030-68787-8_37
https://doi.org/10.1007/978-3-030-68787-8_37
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687861
ICPR Workshops (7)
ICPR Workshops (7)
Automatic mapping of individual urban trees is increasingly important to city administration and planing. Although deep learning algorithms are now standard methodology in computer vision, their adaption to individual tree detection in urban areas ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f9ea2e0a6da02fb92113fc2b07d516c
https://doi.org/10.1007/978-3-030-68787-8_38
https://doi.org/10.1007/978-3-030-68787-8_38
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 501-508 (2020)
Automated semantic interpretation of 3D point clouds is crucial for many tasks in the domain of geospatial data analysis. For this purpose, labeled training data is required, which has often to be provided manually by experts. One approach to minimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::481f8d9b91074dcac5a978ba40859fbd
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/501/2020/
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/501/2020/
Autor:
Franz Rottensteiner, Hugo Ledoux, Jan Dirk Wegner, Michael Kölle, D. Laupheimer, Stefan Schmohl, Norbert Haala
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 1, Iss, Pp 100001-(2021)
ISPRS Open Journal of Photogrammetry and Remote Sensing, 1
ISPRS Open Journal of Photogrammetry and Remote Sensing, 1
Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural networks require large corpora of annotated training data. Especially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::795e7bf7b50ae5c6386d40c6ab8ffd1e
https://doi.org/10.1016/j.ophoto.2021.100001
https://doi.org/10.1016/j.ophoto.2021.100001
Autor:
Michael Schwarz, Thomas D. Schreiber, Stefan Schmohl, Albert Braeuning, Christoph Köhle, Peter A. Münzel, Alexander Schmiechen, Felicitas Buckler
Publikováno v:
Drug metabolism and disposition: the biological fate of chemicals. 34(7)
CYP1A1, a major phase I enzyme, plays an important role in the metabolism of polycyclic aromatic hydrocarbons and in the chemical activation of xenobiotics to carcinogenic derivatives. The phenolic antioxidant tert-butylhydroquinone (tBHQ), often use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cb055836531327c2cd147970b60116b
https://pubmed.ncbi.nlm.nih.gov/16581943
https://pubmed.ncbi.nlm.nih.gov/16581943