Spectral–Spatial Feature Fusion for Hyperspectral Anomaly Detection

Spectral–Spatial Feature Fusion for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection is used to recognize unusual patterns or anomalies in hyperspectral data. Currently, many spectral–spatial detection methods have been proposed with a cascaded manner; however, they often neglect the complementary characteristics between the spectral and spatial dimen...

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Bibliographic Details
Main Authors: Shaocong Liu, Zhen Li, Guangyuan Wang, Xianfei Qiu, Tinghao Liu, Jing Cao, Donghui Zhang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
hyperspectral image
isolation forest
local saliency detection
anomaly detection
spectral–spatial fusion
Online Access:https://www.mdpi.com/1424-8220/24/5/1652

Internet

https://www.mdpi.com/1424-8220/24/5/1652

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