Li, H., & Zipf, A. (2022). A conceptual model for converting OpenStreetMap contribution to geospatial machine learning training data. XXIV ISPRS Congress "Imaging today, foreseeing tomorrow", Commission IV. https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-253-2022
Chicago-Zitierstil (17. Ausg.)Li, Hao, und Alexander Zipf. "A Conceptual Model for Converting OpenStreetMap Contribution to Geospatial Machine Learning Training Data." XXIV ISPRS Congress "Imaging Today, Foreseeing Tomorrow", Commission IV 2022. https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-253-2022.
MLA-Zitierstil (9. Ausg.)Li, Hao, und Alexander Zipf. "A Conceptual Model for Converting OpenStreetMap Contribution to Geospatial Machine Learning Training Data." XXIV ISPRS Congress "Imaging Today, Foreseeing Tomorrow", Commission IV, 2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-253-2022.