Tongkai Cheng - researchr alias

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Viewing Publication 1 - 8 from 8

2022

Kernel-Based Nonlinear Anomaly Detection via Union Dictionary for Hyperspectral ImagesYenan Gao, Jiafeng Gu, Tongkai Cheng, Bin Wang 0008. tgrs, 60:1-15, 2022. [doi]

Reweighted Kernel-Based Nonlinear Hyperspectral Unmixing With Regional ℓ₁-Norm RegularizationJiafeng Gu, Tongkai Cheng, Bin Wang 0008. lgrs, 19:1-5, 2022. [doi]

2021

Total Variation and Sparsity Regularized Decomposition Model With Union Dictionary for Hyperspectral Anomaly DetectionTongkai Cheng, Bin Wang 0008. tgrs, 59(2):1472-1486, 2021. [doi]

Decomposition Model With Background Dictionary Learning for Hyperspectral Target DetectionTongkai Cheng, Bin Wang 0008. staeors, 14:1872-1884, 2021. [doi]

Nonlinear Anomaly Detection Based on Spectral-Spatial Composite Kernel for Hyperspectral ImagesYenan Gao, Tongkai Cheng, Bin Wang 0008. lgrs, 18(7):1269-1273, 2021. [doi]

2020

Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly DetectionTongkai Cheng, Bin Wang 0008. tgrs, 58(1):391-406, 2020. [doi]

2019

Hyperspectral Anomaly Detection Based on Total Variation and Structured DictionaryTongkai Cheng, Bin Wang. igarss 2019: 2252-2255 [doi]

2018

Manifold Regularized Low-Rank Representation for Hyperspectral Anomaly DetectionTongkai Cheng, Bin Wang. igarss 2018: 2853-2856 [doi]

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