Projects funded by the NCN
Development of a deep learning-based methodology for reproducible classification of airborne laser scanning point clouds with different characteristics
2021/41/N/ST10/02996
Keywords:
Deep learning machine learning airborne laser scanning classification
Descriptors:
- ST10_012:
Panel:
ST10 - Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection
Host institution :
Uniwersytet Przyrodniczy we Wrocławiu
woj. dolnośląskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 20 - announced on 2021-03-15
Amount awarded: 138 416 PLN
Project start date (Y-m-d): 2022-01-03
Project end date (Y-m-d): 2024-01-02
Project duration:: 24 months (the same as in the proposal)
Project status: Project completed
Project description
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Information in the final report
Publications will be made available after the final report has been accepted.