Data for Mäkinen et al. (2022) Bayesian Classification of Non-Meteorological Targets in Polarimetric Doppler Radar Measurements

DOI

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.

Identifier
DOI https://doi.org/10.23728/fmi-b2share.734f69f590c040069f0901d105872db9
Source https://fmi.b2share.csc.fi/records/734f69f590c040069f0901d105872db9
Metadata Access https://fmi.b2share.csc.fi/api/oai2d?verb=GetRecord&metadataPrefix=eudatcore&identifier=oai:fmi.b2share.csc.fi:b2rec/734f69f590c040069f0901d105872db9
Provenance
Creator Mäkinen, Terhi; Ritvanen, Jenna; Pulkkinen, Seppo; Weisshaupt, Nadja; Koistinen, Jarmo
Publisher Finnish Meteorological Institute
Publication Year 2022
Rights Public Domain Dedication (CC Zero); info:eu-repo/semantics/openAccess
OpenAccess true
Contact terhi.makinen(at)fmi.fi
Representation
Language English
Resource Type Dataset
Format xml; csv
Size 2.0 MB; 5 files
Discipline Geophysics