%0 Journal Article %1 Kattenborn2022-ku %A Kattenborn, Teja %A Schiefer, Felix %A Frey, Julian %A Feilhauer, Hannes %A Mahecha, Miguel D %A Dormann, Carsten F %D 2022 %I Elsevier BV %J ISPRS Open Journal of Photogrammetry and Remote Sensing %K topic_earthenvironment %N 100018 %P 100018 %T Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks %V 5

@article{Kattenborn2022-ku, added-at = {2024-09-10T11:56:37.000+0200}, author = {Kattenborn, Teja and Schiefer, Felix and Frey, Julian and Feilhauer, Hannes and Mahecha, Miguel D and Dormann, Carsten F}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/268ebb1c6bb8290ad4fb4a80d255cc6d1/scadsfct}, copyright = {http://creativecommons.org/licenses/by-nc-nd/4.0/}, interhash = {ad76e6ecf9355010b4eb05d3ff1dece2}, intrahash = {68ebb1c6bb8290ad4fb4a80d255cc6d1}, journal = {ISPRS Open Journal of Photogrammetry and Remote Sensing}, keywords = {topic_earthenvironment}, language = {en}, month = aug, number = 100018, pages = 100018, publisher = {Elsevier BV}, timestamp = {2024-11-28T17:40:58.000+0100}, title = {Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks}, volume = 5, year = 2022 }