Anomaly Detection in Hyperspectral Images via Regularization by Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3209101
Abstract: In a recent work, Fu et al. (2021) proposed an anomaly detector (AD) for hyperspectral images called DeCNN-AD, which decomposes the image in a low rank representation of the background and the anomalies. DeCNN-AD is… read more here.
Keywords: detection hyperspectral; regularization denoising; anomaly detection; hyperspectral images ... See more keywords