Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm

Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm

Hyperspectral images (HSIs) have always played an important role in remote sensing applications. Anomaly detection has become a hot spot in HSI processing in recent years. The popular detecting method is to accurately segment anomalies from the background. Informative bands are very important for th...

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Bibliographic Details
Main Authors: Shuo Wang, Wei Feng, Yinghui Quan, Wenxing Bao, Gabriel Dauphin, Lianru Gao, Xian Zhong, Mengdao Xing
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection
hyperspectral images (HSIs)
feature ensemble
unsupervised object detection
remote sensing
Online Access:https://ieeexplore.ieee.org/document/9834076/

Internet

https://ieeexplore.ieee.org/document/9834076/

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