Decomposition Model With Background Dictionary Learning for Hyperspectral Target Detection

Decomposition Model With Background Dictionary Learning for Hyperspectral Target Detection

Representation-based target detectors for hyperspectral imagery have attracted considerable attention in recent years. However, their detection performance is still unsatisfactory due to the independent manner of the recovery process on each test pixel. Moreover, the background dictionary generated...

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Bibliographic Details
Main Authors: Tongkai Cheng, Bin Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Background dictionary learning (BDL)
hyperspectral imagery
locality-constrained linear coding (LLC)
target detection
total variation (TV)
Online Access:https://ieeexplore.ieee.org/document/9316704/

Internet

https://ieeexplore.ieee.org/document/9316704/

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