Published June 16, 2022
| Version
v2
Dataset
Data for Mäkinen et al. (2022) Bayesian Classification of Non-Meteorological Targets in Polarimetric Doppler Radar Measurements
- 1. Finnish Meteorological Institute
Description
Training metadata and performance statistics for Bayesian radar target classifier. The XML file describes selections into the Finnish Meteorological Institute radar data archive, defined by file name, scan angle, bounds of the annulus sector, and the manually assigned class of radar echo in the selection. The CSV files contain classification confusion matrices in four different classifier configurations.
Additional details
Identifiers
- URL
- https://etsin.fairdata.fi/dataset/3e23f0a0-98ad-4580-baa6-1459cfd21074
- B2SHARE Legacy Record ID
- 734f69f590c040069f0901d105872db9
FMI metadata
- Lineage
- This is the final, quality controlled version of the class selection metadata.
- Topic category
- climatologyMeteorologyAtmosphere