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邓彬

代表论文:

1.   Bin Deng , Sen Jia , Daming Shi , "Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, 2020, (.),

2.   Sen Jia , Zhijie Lin , Bin Deng , Jiasong Zhu , Qingquan Li , "Cascade superpixel regularized Gabor feature fusion for hyperspectral image classification", IEEE Transactions on Neural Networks and Learning Systems, 2019, (.),

3.   Sen Jia , Bin Deng , Jiasong Zhu , Xiuping Jia , Qingquan Li , "Local Binary Pattern-Based Hy- perspectral Image Classification With Superpixel Guidance", IEEE Transactions on Geoscience and Remote Sensing, 2018, (.),

4.   Sen Jia , Bin Deng , Qiang Huang , "An efficient superpixel-based sparse representation frame- work for hyperspectral image classification", International Journal of Wavelets, Multiresolution and Information Processing, 2017, (.),

5.   Sen Jia , Bin Deng , Jiasong Zhu , Xiuping Jia , Qingquan Li , "Superpixel-based Multi-task Learning Framework for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, 2017, (.),

1.   Zhijie Lin , Sen Jia , Bin Deng , "Multi-task embedded convolutional neural network for hyperspectral image classification", , 2019, (),

2.   Sen Jia , Bin Deng , Huimin Xie , Lin Deng , "A Gabor feature fusion framework for hy- perspectral imagery classification", , 2017, (),

3.   Sen Jia , Bin Deng , "An Efficient Gabor Feature-based Multi-task Joint Support Vector Machines Framework for Hyperspectral Image Classification", , 2016, (),

4.   Sen Jia , Bin Deng , Xiuping Jia , "Superpixel-Level Sparse Representation-Based Classification For Hyperspectral Imagery", , 2016, (),

发明专利:

1.   Sen Jia , Bin Deng , "基于超像素级信息融合的高光谱图像的分类方法及系统", 中国, 申请号:201610810465.2, (已授权), 专利号:PCT/CN2016/104661),

2.   Sen Jia , Bin Deng , Jiasong Zhu , Qingquan Li , "一种图像融合分类的方法及装置", 中国, 申请号:201811146961.8, (实质审查阶段), 专利号:PCT/CN2018/110916),

3.   Sen Jia , Shuguo Jiang , Bin Deng , "基于图中图卷积网络的高光谱图像分类方法", 中国, 申请号:202111509923.6, (等待实审提案), 专利号:202111509923.6),