Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Christian Heipke"'
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 5, Iss , Pp 100017- (2022)
Even more than 75 years after the Second World War, numerous unexploded bombs (duds) linger in the ground and pose a considerable hazard to society. The areas containing these duds are documented in so-called impact maps, which are based on locations
Externí odkaz:
https://doaj.org/article/6cfb029b4f534115aa624743db9b2924
Autor:
Christian Heipke, Deren Li
Publikováno v:
Geo-spatial Information Science, Vol 24, Iss 1, Pp 1-4 (2021)
Externí odkaz:
https://doaj.org/article/221c4b37d67348fa8dcddf15364af5cb
Publikováno v:
Geo-spatial Information Science, Vol 24, Iss 1, Pp 58-74 (2021)
In feature based image matching, distinctive features in images are detected and represented by feature descriptors. Matching is then carried out by assessing the similarity of the descriptors of potentially conjugate points. In this paper, we first
Externí odkaz:
https://doaj.org/article/400f531ad94e401dbff4d977b44fc8c9
Autor:
Christian Heipke, Franz Rottensteiner
Publikováno v:
Geo-spatial Information Science, Vol 23, Iss 1, Pp 10-19 (2020)
During the last few years, artificial intelligence based on deep learning, and particularly based on convolutional neural networks, has acted as a game changer in just about all tasks related to photogrammetry and remote sensing. Results have shown p
Externí odkaz:
https://doaj.org/article/b306248d7d3748b98b7f5d8c616cd57e
Autor:
Bernd Michael Wolf, Jee-Cheng Wu, Xiaowei Yu, Svein Solberg, Juho Pitkänen, Sorin Popescu, Manuela Hirschmugl, Felix Morsdorf, Erik Næsset, Christian Heipke, Markus Holopainen, Mikko Vastaranta, Hannu Hyyppä, Antero Kukko, Harri Kaartinen, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 4, Iss 4, Pp 950-974 (2012)
The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was to evaluate the quality, accuracy, and feasibility of automatic tree e
Externí odkaz:
https://doaj.org/article/4475af83960d4924849e15ca7adf30dd
Autor:
Steffen Schön, Claus Brenner, Hamza Alkhatib, Max Coenen, Hani Dbouk, Nicolas Garcia-Fernandez, Colin Fischer, Christian Heipke, Katja Lohmann, Ingo Neumann, Uyen Nguyen, Jens-André Paffenholz, Torben Peters, Franz Rottensteiner, Julia Schachtschneider, Monika Sester, Ligang Sun, Sören Vogel, Raphael Voges, Bernardo Wagner
Publikováno v:
Sensors, Vol 18, Iss 7, p 2400 (2018)
Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especia
Externí odkaz:
https://doaj.org/article/3310b784160c410eaa5f187dd3d00ccd
Publikováno v:
Revue Française de Photogrammétrie et de Télédétection, Iss 200 (2014)
Faire un état de l'art de la photogrammétrie rapprochée en France peut être envisagé sous différentes perspectives : historique, économique, technique, ou selon les métiers. Le présent article prend le parti de faire un court historique, de
Externí odkaz:
https://doaj.org/article/bd895b2495de4c65a3d0633040152695
Autor:
Lin Chen, Christian Heipke
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 190:94-112
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3352be802788f5a97301390a3cd75f78
https://doi.org/10.1016/j.isprsjprs.2022.06.003
https://doi.org/10.1016/j.isprsjprs.2022.06.003
Publikováno v:
Geocarto International. 37:15143-15160
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6e95a52488a8725c7d42304124b32f
https://doi.org/10.1080/10106049.2022.2095446
https://doi.org/10.1080/10106049.2022.2095446
Autor:
Raul Queiroz Feitosa, Mabel Ximena Ortega Adarme, Gilson Alexandre Ostwald Pedro da Costa, Franz Rottensteiner, Cláudio Aparecido de Almeida, Pedro Juan Soto Vega, Christian Heipke
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 181:113-128
Changes in environmental conditions, geographical variability and different sensor properties typically make it almost impossible to employ previously trained classifiers for new data without a significant drop in classification accuracy. Domain adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b648351aa82d6944f3922fb7ce4fdc7
https://doi.org/10.1016/j.isprsjprs.2021.08.026
https://doi.org/10.1016/j.isprsjprs.2021.08.026