Delian Liu - researchr alias

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Viewing Publication 1 - 6 from 6

2021

Robust Background Feature Extraction Through Homogeneous Region-Based Joint Sparse Representation for Hyperspectral Anomaly DetectionYixin Yang, Shangzhen Song, Delian Liu, Jianqi Zhang, Jonathan Cheung-Wai Chan. tgrs, 59(10):8723-8737, 2021. [doi]

2020

Hyperspectral Anomaly Detection Through Sparse Representation With Tensor Decomposition-Based Dictionary Construction and Adaptive WeightingYixin Yang, Shangzhen Song, Delian Liu, Jonathan Cheung-Wai Chan, Jinze Li, Jianqi Zhang. access, 8:72121-72137, 2020. [doi]

Low-Rank and Sparse Matrix Decomposition With Orthogonal Subspace Projection-Based Background Suppression for Hyperspectral Anomaly DetectionYixin Yang, Jianqi Zhang, Shangzhen Song, Chi Zhang, Delian Liu. lgrs, 17(8):1378-1382, 2020. [doi]

2019

Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive WeightingYixin Yang, Jianqi Zhang, Shangzhen Song, Delian Liu. remotesensing, 11(2):192, 2019. [doi]

2017

Spectral Curve Shape Matching Using Derivatives in Hyperspectral ImagesDelian Liu, Liang Han. lgrs, 14(4):504-508, 2017. [doi]

2015

Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image SequencesZhaohui Li, Xiao Wang, Jian Zhang, Delian Liu. jece, 2015, 2015. [doi]

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