METIS
metadata only
Training Metadata for Mäkinen et al. (2022) Bayesian Classification of Non-Meteorological Targets in Polarimetric Doppler Radar Measurements
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- RVSNUpy: A Python Package for Spectroscopic Redshift Measurement Based on Cross Correlation#425836
- Cross-Dataset Transfer and Unknown-Class Detection in Imbalanced SAR Ship Classification#1115614
- A novel data-driven approach to extract stellar population properties from galaxy spectra using absorption indices#618108
- A novel data-driven approach to extract stellar population properties from galaxy spectra using absorption indices#617608
- Airborne Doppler Lidar Investigation of Sea Surface Reflectance at a 355-nm Ultraviolet Wavelength#367082
Record · ID 645037
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive