Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

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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_12: Geodesy, cartography, geographic information systems, Earth observations from space and by remote sensing

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

Other projects carried out by the institution 

Principal investigator (from the host institution):

Agata Walicka 

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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