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Latvian Journal of Physics and Technical Sciences
Volume 57 (2020): Issue 1-2 (April 2020)
Open Access
Land Cover Classification using Very High Spatial Resolution Remote Sensing Data and Deep Learning
R. Ķēniņš
R. Ķēniņš
Engineering Research Institute “Ventspils International Radio Astronomy Centre”, Ventspils University of Applied Sciences
Latvia
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Ķēniņš, R.
May 11, 2020
Latvian Journal of Physics and Technical Sciences
Volume 57 (2020): Issue 1-2 (April 2020)
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Published Online:
May 11, 2020
Page range:
71 - 77
DOI:
https://doi.org/10.2478/lpts-2020-0009
Keywords
land cover classification
,
neural networks
,
remote sensing
,
topographic map
© 2020 R. Ķēniņš, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
