%0 Journal Article %1 maiwald2021poseestimation %A Maiwald, Ferdinand %A Lehmann, Christoph %A Lazariv, Taras %D 2021 %I Multidisciplinary Digital Publishing Institute %J ISPRS International Journal of Geo-Information %K ScaDS.AI ubs_10000 %N 11 %P 748 %R 10.3390/ijgi10110748 %T Fully automated pose estimation of historical images in the context of 4d geographic information systems utilizing machine learning methods %V 10

@article{maiwald2021poseestimation, added-at = {2024-08-28T13:39:49.000+0200}, author = {Maiwald, Ferdinand and Lehmann, Christoph and Lazariv, Taras}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2339630cc2f9c016ef2694281c49a5665/scads.ai}, doi = {10.3390/ijgi10110748}, interhash = {18e7efad508062a99fce42181a53c707}, intrahash = {339630cc2f9c016ef2694281c49a5665}, journal = {ISPRS International Journal of Geo-Information}, keywords = {ScaDS.AI ubs_10000}, number = 11, pages = 748, publisher = {Multidisciplinary Digital Publishing Institute}, timestamp = {2024-09-05T13:36:54.000+0200}, title = {Fully automated pose estimation of historical images in the context of 4d geographic information systems utilizing machine learning methods}, volume = 10, year = 2021 }