From unsupervised to semi-supervised anomaly detection methods for HRRP targets

Autor: Claude Adnet, Martin Bauw, Olivier Airiau, Santiago Velasco-Forero, Jesús Angulo

Publikováno v: 2020 IEEE Radar Conference (RadarConf20)
2020 IEEE Radar Conference (RadarConf20), Università di Pisa, Sep 2020, Florence, Italy. pp.1-6, ⟨10.1109/RadarConf2043947.2020.9266497⟩

International audience; Responding to the challenge of detecting unusual radar targets in a well identified environment, innovative anomaly and novelty detection methods keep emerging in the literature. This work aims at presenting a benchmark gather

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72313fc00ea9c9773215f58c65e5152f
https://hal.archives-ouvertes.fr/hal-03076384