Hyperspectral Anomaly Detection Based on Machine Learning: An Overview

Hyperspectral Anomaly Detection Based on Machine Learning: An Overview

Hyperspectral anomaly detection (HAD) is an important hyperspectral image application. HAD can find pixels with anomalous spectral signatures compared with their neighbor background without any prior information. While most of the existed researches are related to statistic-based and distance-based...

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Bibliografski detalji
Glavni autori: Yichu Xu, Lefei Zhang, Bo Du, Liangpei Zhang
Format: Članak
Jezik:English
Izdano: IEEE 2022-01-01
Serija:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Teme:
Anomaly detection
deep learning
hyperspectral imagery
machine learning
Online pristup:https://ieeexplore.ieee.org/document/9760098/

Internet

https://ieeexplore.ieee.org/document/9760098/

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