涂兵教授

167

博士生导师 硕士生导师

职称：教授

性别：男

毕业院校：北京工业大学

学历：博士研究生毕业

学位：工学博士学位

在职信息：在岗

所在单位：物理与光电工程学院（公共物理教学部）

职务：院长

学科：光学工程其他专业

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  • [30]Jian Zhang, Bing Tu*, Puzhao Jiang, Bo Liu, Jun Li, Antonio Plaza. Hyperspectral Image Classification via Neighborhood Adaptive Graph Isomorphism Network. IEEE Transactions on Geoscience and Remote Sensing. 2025. (IF(2024)=7.5)

    [29]Yan He, Bing Tu*, Bo Liu, Jun Li, Antonio Plaza. HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2025. (IF(2024)=7.5)

    [28]Zhenghao Hu, Bing Tu*, Bo Liu, Yan He, Jun Li, Antonio Plaza. Self-Supervised Graph Masked Autoencoders for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2025, Doi: 10.1109/TGRS.2025. 3555967. (IF(2024)=7.5)

    [27]Yan He, Bing Tu*, Puzhao Jiang, Bo Liu, Jun Li, Antonio Plaza. Classification of Multisouce Remote Sensing Data Using Slice Mamba. IEEE Transactions on Geoscience and Remote Sensing. 2025, 63: 5505414. (IF(2024)=7.5)

    [26]Heng Li, Bing Tu*, Bo Liu, Jun Li, Antonio Plaza. Adaptive Feature Self-Attention in Spiking Neural Networks for Hyperspectral Classification. IEEE Transactions on Geoscience and Remote Sensing. 2025, 63: 5500915. (IF(2024)=7.5)

    [25]Yan He, Bing Tu*, Puzhao Jiang, Bo Liu, Jun Li, Antonio Plaza. IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2024, 62: 5538817. (IF(2024)=7.5)

    [24]Yang Mi, Bing Tu*, Yunyun Chen, Zhaolou Cao, Antonio Plaza. Hyperspectral Anomaly Detection Via Anchor Generation. IEEE Transactions on Instrumentation and Measurement. 2024, 73: 5038614. (IF(2024)=5.6)

    [23]Yan He, Bing Tu*, Bo Liu, Jun Li, Antonio Plaza. 3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2024, 62: 5534216. (IF(2024)=7.5)

    [22]Bing Tu, Xianchang Yang, Baoliang He, Yunyun Chen, Jun Li, Antonio Plaza. Anomaly Detection in Hyperspectral Images using Adaptive Graph Frequency Location. IEEE Transactions on Neural Networks and Learning Systems. 2024, Doi: 10.1109 /TNNLS.2024. 3449573. (IF(2024)=10.2)

    [21]Yan He, Bing Tu*, Bo Liu, Yunyun Chen, Jun Li, Antonio Plaza. Hybrid Multi-Scale Spatial-Spectral Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2024, 62: 5527918. (IF(2024)=7.5)

    [20]Bing Tu, Qi Ren, Jun Li, Zhaolou Cao, Yunyun Chen, Antonio Plaza. NCGLF2: Network Combining Global and Local Features for Fusion of Multisource Remote Sensing Data. Information Fusion. 2024, 104: 102192. (IF(2024)=14.7)

    [19]Xianchang Yang, Bing Tu*, Qianming Li, Jun Li, Antonio Plaza. Graph Evolution-Based Vertex Extraction for Hyperspectral Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 2024, 35(12): 17372-17386. (IF(2023)=10.4)

    [18]Bing Tu, Xianchang Yang, Wei He, Jun Li, Antonio Plaza. Hyperspectral Anomaly Detection Using Reconstruction Fusion of Quaternion Frequency Domain Analysis. IEEE Transactions on Neural Networks and Learning Systems. 2024, 35(6): 8358-8372. (IF(2024)=10.2)

    [17]Jianghong Hu, Bing Tu*, Qi Ren, Xiaolong Liao, Zhaolou Cao, Antonio Plaza. Hyperspectral Image Classification via Multiscale Multiangle Attention Network. IEEE Transactions on Geoscience and Remote Sensing. 2024, 62: 5510718. (IF(2024)=7.5)

    [16]Xiaolong Liao, Bing Tu*, Jun Li, Antonio Plaza. Class-wise Graph Embedding-based Active Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 5522813. (IF(2023)=8.2)

    [15]Bing Tu, Wangquan He, Qianming Li, Yishu Peng, Antonio Plaza. A New Context-Aware Framework for Defending Against Adversarial Attacks in Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 5505114. (IF(2023)=8.2)

    [14]Bing Tu, Qi Ren, Qianming Li, Wangquan He, Wei. He. Hyperspectral Image Classification Using a Superpixel–Pixel–Subpixel Multilevel Network. IEEE Transactions on Instrumentation and Measurement. 2023, 72: 5013616. (IF(2023)=5.6)

    [13]Bing Tu, Xianchang Yang, Xianfeng Ou, Guoyun Zhang, Jun Li, Antonio Plaza. Ensemble Entropy Metric for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5513617. (IF(2022)=8.125)

    [12]Bing Tu, Xiaolong Liao, Qianming Li, Yishu Peng, Antonio Plaza. Local Semantic Feature Aggregation-Based Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5536115. (IF(2022)=8.125)

    [11]Bing Tu, Zhi Wang, Huiting Ouyang, Xianchang Yang, Jun Li, Antonio Plaza. Hyperspectral Anomaly Detection Using the Spectral-Spatial Graph. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5542814. (IF(2022)=8.125)

    [10]Bing Tu, Zhi Wang, Xianchang Yang, Jun Li, Antonio Plaza. Hyperspectral Anomaly Detection Using Quantum Potential Clustering. IEEE Transactions on Instrumentation and Measurement. 2022, 71:  5025913. (IF(2022)=5.332)

    [9]Bing Tu, Chengle Zhou, Wenlan Kuang, Siyuan Chen, Antonio Plaza. Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation. IEEE Transactions on Instrumentation and Measurement. 2022, 71: 6502617. (IF(2022)=5.332)

    [8]Bing Tu, Wangquang He, Qianming Li, Yishu Peng, Siyuan Chen. Fully Convolutional Network-Based Nonlocal-Dependent Learning for Hyperspectral Image Classification.IEEE Transactions on Instrumentation and Measurement. 2022, 71: 5023414. (IF(2022)=5.332)

    [7]Bing Tu, Chengle Zhou, Xiaolong Liao, Qianming Li, Yishu Peng. Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2021, 59(12): 10503-10518. (IF(2021)=5.6)

    [6]Bing Tu, Chengle Zhou, Jin Peng, Guoyun Zhang, Yishu Peng. Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification.IEEE Transactions on Instrumentation and Measurement. 2021, 70:  5006916. (IF(2021)=4.016)

    [5]Bing Tu, Xiaolong Liao, Chengle Zhou, Siyuan Chen, Wei He. Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification. IEEE Transactions on Instrumentation and Measurement. 2021, 70:  5018216. (IF(2021)=4.016)

    [4]Bing Tu, Chengle Zhou, Danbing He, Siyuan Huang, Antonio Plaza. Hyperspectral Classification with Noisy Label Detection via Superpixel-to-Pixel Weighting Distance. IEEE Transactions on Geoscience and Remote Sensing. 2020, 58(6): 4116-4131. (IF(2020)=5.855)

    [3]Bing Tu, Xianchang Yang, Chengle Zhou, Danbing He, Antonio Plaza. Hyperspectral Anomaly Detection Using Dual Window Density. IEEE Transactions on Geoscience and Remote Sensing. 2020, 58(12): 8503-8517. (IF(2020)=5.855)

    [2]Bing Tu, Xiaofei Zhang, Xudong Kang, Guoyun Zhang, Shutao Li. Density Peak-based Noisy Label Detection for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2019, 57(3): 1573-1584. (IF(2019)=5.63)

    [1]Bing Tu, Xiaofei Zhang, Xudong Kang, Jinping Wang, Jon Alti Benediktsson. Spatial Density Peak Clustering for Hyperspectral Image Classification with Noisy Labels. IEEE Transactions on Geoscience and Remote Sensing. 2019, 57(7): 5085-5097. (IF(2019)=5.63)