A Low-Complexity Hyperspectral Anomaly Detection Algorithm and Its FPGA Implementation

On-board real-time anomaly detection has always been a challenging task in hyperspectral imaging analysis as it requires low computational complexity. Most of the existing anomaly detection algorithms inevitably trade off intensive computational complexity for high detection accuracy. This article p...

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Bibliographic Details
Main Authors: Jie Lei, Geng Yang, Weiying Xie, Yunsong Li, Xiuping Jia
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9240046/