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%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
}
