Multiscale Superpixel Guided Discriminative Forest for Hyperspectral Anomaly Detection

Recently, the isolation forest (IF) methods have received increasing attention for their promising performance in hyperspectral anomaly detection (HAD). However, limited by the ability of exploiting spatial-spectral information, existing IF-based methods suffer from a lot of false alarms and disappo...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Xi Cheng, Min Zhang, Sheng Lin, Kexue Zhou, Liang Wang, Hai Wang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2022-09-01
Sarja:	Remote Sensing
Aiheet:	hyperspectral anomaly detection discriminative forest superpixel segmentation multiscale fusion guided filtering
Linkit:	https://www.mdpi.com/2072-4292/14/19/4828
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