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Conference Paper

Improving Classification Performance of Continuous GNSS Stations Using a Combination of Human and Machine Learning

Authors
/persons/resource/nhung

Nhung,  Le
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/maennelb

Männel,  B.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/deng

Deng,  Z.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Luong,  T. T.

/persons/resource/schuh

Schuh,  H.
1.1 Space Geodetic Techniques, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Nhung, L., Männel, B., Deng, Z., Luong, T. T., Schuh, H. (2022): Improving Classification Performance of Continuous GNSS Stations Using a Combination of Human and Machine Learning - Abstracts, 2nd Symposium of IAG Commission 4 "Positioning and Applications" (Potsdam, Germany 2022).
https://doi.org/10.5194/iag-comm4-2022-20


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014360
Abstract
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