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Li-Na Xun
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2020 – today
- 2022
- [j3]Qing Yan, Hu Liu, Jingjing Zhang, Xiaobing Sun, Wei Xiong, Mingmin Zou, Yi Xia, Li-Na Xun:
Cloud Detection of Remote Sensing Image Based on Multi-Scale Data and Dual-Channel Attention Mechanism. Remote. Sens. 14(15): 3710 (2022) - [j2]Jingjing Zhang, Kai Ge, Li-Na Xun, Xiaobing Sun, Wei Xiong, Mingmin Zou, Jinqin Zhong, Teng Li:
MFCD-Net: Cross Attention Based Multimodal Fusion Network for DPC Imagery Cloud Detection. Remote. Sens. 14(16): 3905 (2022)
2010 – 2019
- 2019
- [j1]Dexiang Zhang, Jingzhong Kang, Li-Na Xun, Yu Huang:
Hyperspectral Image Classification Using Spatial and Edge Features Based on Deep Learning. Int. J. Pattern Recognit. Artif. Intell. 33(9): 1954027:1-1954027:22 (2019) - 2018
- [c6]Chen Chen, Jing-Jing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun:
Classification of Hyperspectral Data Using a Multi-Channel Convolutional Neural Network. ICIC (3) 2018: 81-92 - [c5]Yuanyuan Li, Jingjing Zhang, Chun-Hou Zheng, Qing Yan, Li-Na Xun:
CDC-MRF for Hyperspectral Data Classification. ICIC (3) 2018: 278-283 - [c4]Chen Chen, Jingjing Zhang, Teng Li, Qing Yan, Li-Na Xun:
Spectral and Multi-Spatial-Feature Based Deep Learning for Hyperspectral Remote Sensing Image Classification. RCAR 2018: 421-426 - 2017
- [c3]Yanlin Li, Dexiang Zhang, Jun Zhang, Li-Na Xun, Qing Yan, Jingjing Zhang, Qingwei Gao, Yi Xia:
A Convolutional Neural Network for Gait Recognition Based on Plantar Pressure Images. CCBR 2017: 466-473 - [c2]Qing Yan, Yun Ding, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng:
Similarity Matrix Construction Methods in Sparse Subspace Clustering Algorithm for Hyperspectral Imagery Clustering. ICIC (1) 2017: 695-700 - 2016
- [c1]Yun Ding, Qing Yan, Jing-Jing Zhang, Li-Na Xun, Chun-Hou Zheng:
Leaf Clustering Based on Sparse Subspace Clustering. ICIC (2) 2016: 55-66
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