Chen-Feng Long

According to our database, Chen-Feng Long authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

L2,1-Norm Regularized Double Non-Negative Matrix Factorization for Hyperspectral Change Detection.

Xing-Hui Zhu, Meng-Ting Li, Yang-Jun Deng, Xu Luo, Lu-Ming Shen, Chen-Feng Long

Symmetry, 2025

2024

Low-Rank Discriminative Embedding Regression for Robust Feature Extraction of Hyperspectral Images via Weighted Schatten p-Norm Minimization.

Chen-Feng Long, Ya-Ru Li, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Qian Du

Remote. Sens., August, 2024

Low-rank preserving embedding regression for robust image feature extraction.

Tao Zhang, Chen-Feng Long, Yang-Jun Deng, Wei-Ye Wang, Siqiao Tan, Heng-Chao Li

IET Comput. Vis., February, 2024

Feature Dimensionality Reduction With L2,p-Norm-Based Robust Embedding Regression for Classification of Hyperspectral Images.

Yang-Jun Deng, Meng-Long Yang, Heng-Chao Li, Chen-Feng Long, Kui Fang, Qian Du

IEEE Trans. Geosci. Remote. Sens., 2024

Center-Highlighted Multiscale CNN for Classification of Hyperspectral Images.

Xing-Hui Zhu, Kai-Run Li, Yang-Jun Deng, Chen-Feng Long, Wei-Ye Wang, Siqiao Tan

Remote. Sens., 2024

Dual Linear Regression in Tensor Space for Hyperspectral Image Classification.

Lv-Wei Zhang, Yang-Jun Deng, Wei-Ye Wang, Xing-Hui Zhu, Chen-Feng Long

Proceedings of the IGARSS 2024, 2024

2023

Locality Preserved MLP-Mixer for Hyperspectral Image Classification.

Yun Cheng, Yang-Jun Deng, Wei-Ye Wang, Chen-Feng Long, Xing-Hui Zhu

Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023