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个人信息Personal Information
弘深青年教师
硕士生导师
教师拼音名称：Chen Lihui
电子邮箱：
所在单位：微电子与通信工程学院
学历：博士研究生毕业
性别：男
学位：工学博士学位
在职信息：在职
毕业院校：四川大学
学科：信号与信息处理
- [1].X. Zhou, F. Liang, L. Chen*, et. al, "MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, 2024.
- [2].Mahmood A., L. Chen, X. Zhou, and AR. Muhammad,“A Joint Architecture of Mixed-Attention Transformer and Octave Module for Hyperspectral Image Denoising”, IEEE Journal of Selected Topic in Applied Earth Observation and Remote Sensing, 2024.
- [3].Ashraf M, Zhou X, Vivone G, Chen L*, Chen R, Majdard RS., “Spatial-Spectral BERT for Hyperspectral Image Classification,” Remote Sensing, 16(3): 539, 2024..
- [4].Ashraf M, Alharthi, R*, L. Chen*, et al., “Attention 3D central difference convolutional dense network for hyperspectral image classification,” Plos One, 2024.
- [5].L. Chen, G. Vivone, J. Qin, J. Chanussot, and X. Yang, “Spectral-spatial Transformer for Hyperspectral Image Sharpening,” IEEE Transactions on Neural Networks and Learning Systems, 2023.
- [6].L. Chen, G. Vivone, Z. Nie, J. Chanussot, and X. Yang, “Spatial Data Augmentation: Improving the Generalization of Neural Networks for Pansharpening,” IEEE Transactions on Geoscience and Remote Sensing, 2023.
- [7].Xiangfei Shen, Lihui Chen, Haijun Liu, Xi Su, Wenjia Wei, Xia Zhu, Xichuan Zhou, Efficient Hyperspectral Sparse Regression Unmixing With Multilayers. IEEE Trans. Geosci. Remote. Sens. 61: 1-14, 2023.
- [8].Jian L, Wu S, Chen L, Vivone G, Rayhana R, Zhang D., “Multi-Scale and Multi-Stream Fusion Network for Pansharpening,” Remote Sensing, 15(6), 2023.
- [9].L. Chen, Z. Lai, G. Vivone, G. Jeon, J. Chanussot, and X. Yang, “ArbRPN: A Bidirectional Recurrent Pansharpening Network for Multispectral Images with Arbitrary Numbers of Bands,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60 pp. 1–18, 2022.
- [10].L. Chen, G. Vivone, J. Qin, J. Chanussot, and X. Yang, “Spectral-spatial Transformer for Hyperspectral Image Sharpening,” IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022.
- [11].J. Qin, L. Chen, S. Jeon, X. Yang, “Progressive Interaction-learning Network for Lightweight Single-Image Super-Resolution in Industrial Applications,” IEEE Transactions on Industrial Informatics, 2022.
- [12].Z. Nie, L. Chen, X. Yang, S. Jeon, “Spectral-Spatial Interaction Network for Pansharpening,” Remote Sensing, 2022.
- [13].J. Qin, L. Chen, K. Liu, G. Jeon and X. Yang, “Spatial-Temporal Feature Refine Network for Single Image Super-Resolution,” Applied Intelligence, 2022.
- [14].Z. Lai, L. Chen, Z. Liu, and X. Yang, “Gradient Guided Pyramidal Convolution Residual Network with Interactive Connections for Pan-sharpening,” International Journal of Remote Sensing, pp. 1–31, Aug. 2021.
- [15].Z. Lai, L. Chen, G. Jeon, Z. Liu, R. Zhong, and X. Yang, “Real-time and effective pan-sharpening for remote sensing using multi-scale fusion network,” Journal of Real-Time Image Processing, Feb. 2021.