The following publications are possibly variants of this publication:
- Relaxed Collaborative Representation With Low-Rank and Sparse Matrix Decomposition for Hyperspectral Anomaly DetectionHongjun Su, HuiHui Zhang, Zhaoyue Wu, Qian Du 0001. staeors, 15:6826-6842, 2022. [doi]
- Low-Rank and Collaborative Representation for Hyperspectral Anomaly DetectionZhaoyue Wu, Hongjun Su, Qian Du. igarss 2019: 1394-1397 [doi]
- Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative RepresentationKun Tan, Zengfu Hou, Fuyu Wu, Qian Du, Yu Chen 0014. remotesensing, 11(11):1318, 2019. [doi]
- Hyperspectral Anomaly Detection Using Collaborative Representation With Outlier RemovalHongjun Su, Zhaoyue Wu, Qian Du, Peijun Du. staeors, 11(12):5029-5038, 2018. [doi]
- Saliency-Guided Collaborative-Competitive Representation for Hyperspectral Anomaly DetectionYufan Yang, Hongjun Su, Zhaoyue Wu, Qian Du 0001. staeors, 16:6843-6859, 2023. [doi]
- Adaptive Dictionary Construction for Hyperspectral Anomaly Detection Based on Collaborative RepresentationZhaoyue Wu, Hongjun Su, Xuanwen Tao, Lirong Han, Mercedes Eugenia Paoletti, Juan Mario Haut, Javier Plaza, Antonio J. Plaza. igarss 2022: 1979-1982 [doi]