Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

Orthogonal Subspace Projection Target Detector for Hyperspectral Anomaly Detection

Orthogonal subspace projection (OSP) is a versatile hyperspectral imaging technique which has shown great potential in dimensionality reduction, target detection, spectral unmixing, etc. However, due to its inherent requirement of prior target knowledge, OSP has not been explored in anomaly detectio...

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Bibliographic Details
Main Authors: Chein-I Chang, Hongju Cao, Meiping Song
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection (AD)
automatic target generation process (ATGP)
data sphering (DS)
go decomposition (GoDec)
low rank and sparse matrix decomposition (LRaSMD)
orthogonal subspace projection (OSP)
Online Access:https://ieeexplore.ieee.org/document/9387095/

Internet

https://ieeexplore.ieee.org/document/9387095/

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