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Authors
Paul Tresson (0000-0002-1275-4673), Pierre Le Coz, Hadrien Tulet (0009-0004-8139-2380), Anthony Malkassian (0000-0001-9603-4448), Maxime Réjou-Méchain (0000-0003-2824-267X)
Citation
Tresson et al., (2026). IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources. Journal of Open Source Software, 11(122), 10329, https://doi.org/10.21105/joss.10329
@article{Tresson2026,
doi = {10.21105/joss.10329},
url = {https://doi.org/10.21105/joss.10329},
year = {2026},
publisher = {The Open Journal},
volume = {11},
number = {122},
pages = {10329},
author = {Tresson, Paul and Coz, Pierre Le and Tulet, Hadrien and Malkassian, Anthony and Réjou-Méchain, Maxime},
title = {IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources},
journal = {Journal of Open Source Software}
}
Tags
GIS Remote Sensing Deep Learning
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This work is licensed under a Creative Commons Attribution 4.0 International License.
