Multiscale Superpixel Guided Discriminative Forest for Hyperspectral Anomaly Detection

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...

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Bibliographic Details
Main Authors: Xi Cheng, Min Zhang, Sheng Lin, Kexue Zhou, Liang Wang, Hai Wang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
hyperspectral anomaly detection
discriminative forest
superpixel segmentation
multiscale fusion
guided filtering
Online Access:https://www.mdpi.com/2072-4292/14/19/4828

Internet

https://www.mdpi.com/2072-4292/14/19/4828

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