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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Bibliographic Details
Main Authors: Yichu Xu, Lefei Zhang, Bo Du, Liangpei Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9760098/