Dual Collaborative Constraints Regularized Low-Rank and Sparse Representation via Robust Dictionaries Construction for Hyperspectral Anomaly Detection

Dual Collaborative Constraints Regularized Low-Rank and Sparse Representation via Robust Dictionaries Construction for Hyperspectral Anomaly Detection

The low rank and sparse representation (LRSR) technique has attracted increasing attention for hyperspectral anomaly detection (HAD). Although a large quantity of research based on LRSR for HAD is proposed, the detection performance is still limited, due to the unsatisfactory dictionary construction...

Full description

Bibliographic Details
Main Authors: Sheng Lin, Min Zhang, Xi Cheng, Kexue Zhou, Shaobo Zhao, Hai Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Anomaly detection
dual collaborative constraints
hyperspectral images (HSIs)
low-rank and sparse representation (LRSR)
robust dictionaries construction
Online Access:https://ieeexplore.ieee.org/document/9919369/

Internet

https://ieeexplore.ieee.org/document/9919369/

Similar Items