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Land Cover Classification using Very High Spatial Resolution Remote Sensing Data and Deep Learning Cover

Land Cover Classification using Very High Spatial Resolution Remote Sensing Data and Deep Learning

Latvian Journal of Physics and Technical Sciences
Volume 57 (2020): Issue 1-2 (April 2020)
By: R. Ķēniņš  
Open Access
|May 2020
DOI: https://doi.org/10.2478/lpts-2020-0009 | Journal eISSN: 2255-8896 | Journal ISSN: 0868-8257
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Language: English
Page range: 71 - 77
Published on: May 11, 2020
Published by: Institute of Physical Energetics
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
land cover classification,
neural networks,
remote sensing,
topographic map
Related subjects:
Physics,
Technical and applied physics

© 2020 R. Ķēniņš, published by Institute of Physical Energetics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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