Chen-Feng Long - researchr alias

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Viewing Publication 1 - 6 from 6

2024

Feature Dimensionality Reduction With L2,p-Norm-Based Robust Embedding Regression for Classification of Hyperspectral ImagesYang-Jun Deng, Meng-Long Yang, Heng-Chao Li, Chen-Feng Long, Kui Fang, Qian Du 0001. tgrs, 62:1-14, 2024. [doi]

Low-Rank Discriminative Embedding Regression for Robust Feature Extraction of Hyperspectral Images via Weighted Schatten p-Norm MinimizationChen-Feng Long, Ya-Ru Li, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Qian Du 0001. remotesensing, 16(16):3081, August 2024. [doi]

Dual Linear Regression in Tensor Space for Hyperspectral Image ClassificationLv-Wei Zhang, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Chen-Feng Long. igarss 2024: 9341-9344 [doi]

Low-rank preserving embedding regression for robust image feature extractionTao Zhang, Chen-Feng Long, Yang-Jun Deng, Wei-Ye Wang, Siqiao Tan, Heng-Chao Li. iet-cvi, 18(1):124-140, February 2024. [doi]

Center-Highlighted Multiscale CNN for Classification of Hyperspectral ImagesXing-Hui Zhu, Kai-Run Li, Yang-Jun Deng, Chen-Feng Long, Wei-Ye Wang, Siqiao Tan. remotesensing, 16(21):4055, 2024. [doi]

2023

Locality Preserved MLP-Mixer for Hyperspectral Image ClassificationYun Cheng, Yang-Jun Deng, Wei-Ye Wang, Chen-Feng Long, Xing-Hui Zhu. whispers 2023: 1-5 [doi]

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