Unsupervised Radar Target Detection under Complex Clutter Background Based on Mixture Variational Autoencoder

The clutter background in modern radar target detection is complex and changeable. The performance of classical detectors based on parametric statistical modeling methods is often degraded due to model mismatch. Existing data-driven deep learning methods require cumbersome and expensive annotations....

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Xueling Liang, Bo Chen, Wenchao Chen, Penghui Wang, Hongwei Liu
Format:	Article
Language:	English
Published:	MDPI AG 2022-09-01
Subjects:	complex clutter background clutter refinement modeling narrow-band low resolution radar GMM VAE
Online Access:	https://www.mdpi.com/2072-4292/14/18/4449