涂兵教授

个人简介

涂兵，男，教授、博士生导师， 南京信息工程大学物理与光电工程学院院长。江苏省333工程第二层次人才(中青年科技领军人才)、湖南省杰青、湖南省青年骨干教师、岳阳巴陵青年英才、湖南省普通高校教师党支部书记“双带头人”，国家公派赴美研究学者。主持国家重点研发项目课题、国家自然科学基金3项、湖南省杰出青年科学基金、湖南省水利厅重大科研项目、湖南省重点研发项目课题等各类项目20余项，主要研究兴趣智能光谱成像、智能光谱解译，光电探测技术与仪器等，在Information Fusion、 IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Geoscience and Remote Sensing、IEEE Transactions on Image Processing、IEEE Transactions on Instrumentation and Measurement等国内外权威期刊发表高水平论文110余篇(其中第一/通信 IEEE Trans 31篇)，ESI 高被引论文8篇，第一发明人获发明专利19项，参编团体标准1项，获中国发明协会发明创新奖一等奖(排1/6)、中国商业联合会科技进步奖一等奖(排1/14)、中国地理信息科技进步奖二等奖(排1/12)、湖南省技术发明三等奖(排6/6)、湖南省教学成果三等奖(排5/5)。IEEE Senior Member，担任IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing编委、《大气与环境光学学报》青年编委。

   欢迎编码能力强、有良好英语和数学基础的研究生和本科生加入团队！

团队研究背景与研究方向

Selected Publications（*Corresponding）  

[76] 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

[75]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

[74]Longyuan Guo, Wen Wang, Bing Tu*. Infrared Small Targets Detection via Nested U-Structure with Attention and Multiscale Feature Pyramid. IEEE Transactions on Geoscience and Remote Sensing. 2024, 62: 5650215

[73]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

[72]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

[71]Wei He, Jiexin Li, Bing Tu*, Qi Qi, Siyuan Chen, Longyuan Guo. Break the Shackles of Background: UAV Tracking Based on Eccentric Loss and Adaptive Search. IEEE Transactions on Instrumentation and Measurement. 2024, 73: 5035011

[70]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. 3DSS_Mamba(TGRS)-Code.zip

[69]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.HMSSF(TGRS)-Code.zip

[68]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

[67]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.AGFL(TNNLS)-Code.zip

[66]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

[65]Luming Zhang, Ming Chen, Bing Tu, Yi Li, Yingjie Xia. Retargeting HR Aerial Photos Under Contaminated Labels With Application in Smart Navigation. IEEE Transactions on Intelligent Transportation Systems. 2023, Doi: 10.1109/TITS. 2023.3288877

[64]Luming Zhang, Guifeng Wang, Zhiming Wang, Yinfu Feng, Bing Tu. UHD Aerial Photograph Categorization by Leveraging Deep Multiattribute Matrix Factorization. IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 3000712

[63]Chengle Zhou, Qian Shi, Da He, Bing Tu, Haoyang Li, Antonio Plaza. Spectral‐spatial sequence characteristics‐based convolutional transformer for hyperspectral change detection. CAAI Transactions on Intelligence Technology. 2023,Doi: https://doi.org/10.1049/cit2.12226

[62]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

[61]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. GEVE(TNNLS)-Code.rar

[60]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

[59]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

[58]Xianfeng Ou, Meng Wu, Bing Tu, Guoyun Zhang, Wujin Li. Multi-Objective Unsupervised Band Selection Method for Hyperspectral Images Classification. IEEE Transactions on Image Processing. 2023, 32: 1952-1965

[57]Yishu Peng, Yaru Liu, Bing Tu*, Yuwen Zhang. Convolutional Transformer-Based Few-Shot Learning for Cross-Domain Hyperspectral Image Classification.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023, 16: 1335-1349.  CTFSL(JSTARS)-Code.rar

[56]Yuwen Zhang, Yishu Peng , Bing Tu, Yaru Liu. Local Information Interaction Transformer for Hyperspectral and LiDAR Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023, 16: 1130-1143

[55]Yishu Peng, Yuwen Zhang, Bing Tu*, Chengle Zhou, Qianming Li. Multi-View Hierarchical Network for Hyperspectral and LiDAR Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15: 1454-1469

[54]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 . RFFT-MsRFQFT-MfRFQFT(TNNLS)-Code.rar

[53]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. SSG(TGRS)_Code.rar

[52]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. LSFAT(TGRS)-Code.rar

[51]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. EEMD(TGRS)-Code.rar

[50]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

[49]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. SPWD(TGRS)-Code.zip

[48]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.RDWD(TGRS)-Code.rar

[47]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.DPNLD(TGRS)-Code.zip

[46]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

[45]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. QPAD(TIM)-Code.rar

[44]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

[43]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

[42]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.JASD(TIM)-Code.zip

[41]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

[40]Yishu Peng, Yuwen Zhang, Bing Tu*, Qianming Li, Wujin Li. Spatial-Spectral Transformer With Cross-Attention for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5537415

[39]Xianfeng Ou, Liangzhen Liu, Bing Tu*, Guoyun Zhang, Zhi Xu. A CNN Framework With Slow-Fast Band Selection and Feature Fusion Grouping for Hyperspectral Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5524716

[38]Bing Tu, Xiaolong Liao, Qianming Li, Chengle Zhou, Antonio Plaza. Multi-resolution Pyramid Nonlocal Enhanced Feature Extraction for Hyperspectral Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15: 5865 – 5879

[37]Bing Tu, Wangquan He, Wei He, Xianfeng Ou, Antonio Plaza. Hyperspectral Classification via Global-Local Hierarchical Weighting Fusion Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15, 184-200

[36]Qi Ren, Bing Tu*, Qianming Li, Wangquan He, Yishu Peng. Multiscale Adaptive Convolution for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15: 5115 - 5130

[35]Bing Tu, Yu Zhu, Chenle Zhou, Siyuan Chen, Antonio Plaza. Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification. Remote Sensing. 2022, 14(8), 1814:1-22. OSGT(RS)-Code.zip

[34]Qi Ren, Bing Tu*, Sha Liao, Siyuan Chen. Hyperspectral Image Classification with IFormer Network Feature Extraction. Remote Sensing. 2022, 14: 4866

[33]Yishu Peng, Yuwen Zhang, Bing Tu*, Chengle Zhou, Qianming Li. Multiview Hierarchical Network for Hyperspectral and LiDAR Data Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2022, 15: 1454-1469

[32]Bing Tu, Chengle Zhou, Xiaolong Liao, Guoyun Zhang, Yishu Peng. Spectral–Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation. IEEE Geoscience and Remote Sensing Letters. 2021, 18(5): 861-865. SKCR(GRSL)-Code.zip

[31]Chengle Zhou, Bing Tu*, Qi Ren, Siyuan Chen. Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification. IEEE Geoscience and Remote Sensing Letters. 2022, 19: 5506805. SPaCR(GRSL)-Code.zip

[30]Bing Tu, Qi Ren, Chengle Zhou, Siyuan Chen, Wei He. Multi-Dimensional Spectral Regression Whitening Feature Extraction for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, 14: 8326-8340

[29]Wenlan Kuang, Bing Tu*, Wangquan He, Guoyun Zhang, Yishu Peng. A Spectral-spatial Attention Aggregation Network for Hyperspectral Imagery Classification. International Journal of Remote Sensing. 2021.42(19): 7551-7580

[28]Chengle Zhou, Bing Tu*, Nanying Li, Wei He, Antonio Plaza. Structure-Aware Multi-Kernel Learning for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2021, 14: 9837-9854.SaMKL(JSTARS)-Code.zip

[27]Bing Tu, Wenlan Kuang, Wangquan He, Guoyun Zhang, Yishu Peng. Robust Learning of Mislabeled Training Samples for Remote Sensing Image Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13: 5623-5639

[26]Bing Tu, Chengle Zhou, Xiaolong Liao, Zhi Xu, Yishu Peng, Xianfeng Ou. Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13: 2183-2199.HCEM(JSTARS)-Code.zip

[25]Guoyun Zhang, Nanying Li, Bing Tu*, Zhuolang Liao, Yishu Peng. Hyperspectral Anomaly Detection via Dual Collaborative Representation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13: 4881-4894

[24]Qianming Li, Bohong Zheng, Bing Tu*, Yusheng Yang, Jiawei Yang. Refining Urban Built-Up Area via Multi-Source Data Fusion for the Analysis of Dongting Lake Eco-Economic Zone Spatiotemporal Expansion. Remote Sensing. 2020, 12(11):1797

[23]Bing Tu, Jinping Wang, Guangzhe Zhao, Xiaofei Zhang, Guoyun Zhang. Dual-Stage Construction of Probability for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 2020, 17(5): 889-893

[22]Guangzhe Zhao, Nanying Li, Bing Tu*, Guoyun Zhang, Wei He. Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image. IEEE Geoscience and Remote Sensing Letters. 2020, 17(3): 534-538

[21]Bing Tu, Xianchang Yang, Nanying Li, Chengle Zhou, Danbing He. Hyperspectral Anomaly Detection via Density Peak Clustering. Pattern Recognition Letters. 2020, 129: 144-149

[20]Bing Tu, Xiaofei Zhang, Guoyun Zhang, Jinping Wang, Wei He. Dual unsupervised features fusion for hyperspectral image classification. International Journal of Remote Sensing. 2020, 41(16):6135-6156.

[19]Bing Tu, Jinping Wang, Guoyun Zhang, Xiaofei Zhang, Wei He. Texture Pattern Separation for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(9): 3602-3614

[18]Bing Tu, Xiaofei Zhang, Jinping Wang, Zhuolang Liao, Jin Peng. Noisy Labels Detection in Hyperspectral Image via Class-Dependent Collaborative Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(12): 5076-5085

[17]Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi. Hyperspectral Image Classification with Multi-scale Feature Extraction. Remote Sensing. 2019, 11(5): 534

[16]Bing Tu, Nanying Li, Zhuolang Liao, Xianfeng Ou, Guoyun Zhang. Hyperspectral Anomaly Detection via Spatial Density Background Purification. Remote Sensing. 2019, 11(22): 2618

[15]Bing Tu, Chengle Zhou, Jin Peng, Wei He, Xianfeng Ou, Zhi Xu. Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification. Remote Sensing. 2019, 11(23): 2823. KECA(RS)-Code.zip

[14]Bing Tu, Nanying Li, Leyuan Fang, Xianchang Yang, Jianhui Wu. Hyperspectral Image Classification with Class-dependent Spatial-spectral Mixed Metric. Pattern Recognition Letters. 2019, 123: 16-22

[13]Bing Tu, Wenlan Kuang, Guangzhe Zhao, Danbing He, Zhuolang Liao, Weiwen Ma. Hyperspectral Image Classification via Combining Local Binary Pattern and Joint Sparse Representation. International Journal of Remote Sensing. 2019, 40(24): 9484-9500

[12]Bing Tu, Wenlan Kuang, Chengle Zhou, Guoyun Zhang, Binxin Zheng. Hyperspectral Image Classification using Spectral Mixing Metrics Representation. Remote Sensing Letters. 2019, 10(4): 391-400

[11]Guangzhe Zhao, Bing Tu*, Hongyan Fei, Nanying Li, Xianchang Yang. Spatial-spectral Classification of Hyperspectral image via Group Tensor Decompositon. Neurocomputing. 2018, 316: 68-77

[10]Bing Tu, Jinping Wang, Xudong Kang, Guoyun Zhang, Xianfeng Ou, Longyuan Guo. KNN-based Representation of Superpixels for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(11): 4032-4047

[9]Bing Tu, Siyuan Huang, Leyuan Fang, Guoyun Zhang, Jinping Wang, Binxin Zheng. Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(11): 4063-4075

[8]Bing Tu, Xianchang Yang, Nanying Li, Xianfeng Ou, Wei He. Hyperspectral Image Classifiction via Superpixel Correlation Coefficient Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(11): 4113-4127

[7]Bing Tu, Chengle Zhou, Wenlan Kuang, Longyuan Guo, Xiangfeng Ou. Hyperspectral Imagery Nosiy Label Detection by Spectral Angel Local Outlier Factor. IEEE Geoscience and Remote Sensing Letters. 2018, 15(9): 1417-1421

[6]Bing Tu, Xiaofei Zhang, Xudong Kang, Guoyun Zhang, Jinping Wang, Jianhui Wu. Hyperspectral Image Classification via Fusing Correlation Coefficient and Joint Sparse Representation. IEEE Geoscience and Remote Sensing Letters. 2018, 15(3): 340-344.CCJSR(GRSL)-Code.zip

[5]Bing Tu, Wenlan Kuang, Guangzhe Zhao, Hongyan Fei. Hyperspectral Image Classification via Superpixel Spectral Metrics Representation. IEEE Signal Processing Letters. 2018, 25(10): 1520-1524.

[4]Bing Tu, Nanying Li, Leyuan Fang, Hongyan Fei, Danbing He. Classification of Hyperspectral Images via Weighted Spatial Correlation Representation. Journal of Visual Communication and Image Representation. 2018, 56: 160-166

[3]Qianming Li, Bohong Zheng, Bing Tu*, Jinping Wang, Chengle Zhou. Ensemble EMD-Based Spectral-Spatial Feature Extraction for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13: 5134-5148

[2]Guoyun Zhang, Jinping Wang, Xiaofei Zhang, Hongyan Fei, Bing Tu*. Adaptive Total Variation-based Spectral-Spatial Feature Extraction of Hyperspectral Image. Journal of Visual Communication and Image Representation. 2018, 56: 152-159

[1]Bing Tu, Xiaofei Zhang, Jinping Wang, Guoyun Zhang, Xianfeng Ou.Spatial Hyperspectral Image Classification via Non-local Means Filtering Feature Extraction. Sensing and Imaging. 2018, 19(1): 11

代表性发明专利

20. 涂兵，李恒，刘博，陈云云，李军，方乐缘，曹兆楼，“一种高光谱图像分类方法”，ZL202411700036.0 （已授权）

19. 涂兵，李恒，刘博，陈云云，李军，方乐缘，曹兆楼，“一种高光谱图像分类方法”，ZL202411688591.6 （已授权）

18. 涂兵，周韬，刘博，李军，方乐缘，陈云云，曹兆楼，贺燕，刘立成，“高光谱异常检测方法、装置、电子终端”，ZL202411668533.7（已授权）

17. 涂兵，胡诚信，刘博，李军，方乐缘，贺燕，陈云云，“一种高分辨率大气气溶胶反演方法、装置、系统及介质”，ZL202411719238.X（已授权）

16. 涂兵，刘民生，刘博，李军，方乐缘，陈云云，曹兆楼，贺燕，刘立成，“一种高光谱图像变化检测方法、装置及存储介质”，ZL202411700034.1 （已授权）

15. 涂兵，陈云云，曹兆楼，叶井飞，匡文剑，王琳，“一种基于二次训练的高光谱图像分类方法”，ZL202410182358.4（已授权）

14. 涂兵，李恒，陈云云，曹兆楼，“基于退火优化LSTM算法反演湖泊叶绿素的方法及系统”，ZL202411150514.5（已授权）

13. 涂兵，胡正昊，刘博，陈云云，曹兆楼，“一种基于图掩码自编码器的遥感图像自监督学习方法”，ZL202410924484.2（已授权）

12. 涂兵，曹兆楼，匡文剑，陈云云，王琳，叶井飞，“一种纺织面料高光谱成份感知方法、装置”，ZL202410527765.4（已授权）

11. 涂兵，陈开元，刘博，陈云云，曹兆楼，“一种基于配准的高光谱异常检测方法”，ZL202410824230.3（已授权）

10. 涂兵，陈开元，陈云云，王琳，叶井飞，曹兆楼，匡文剑， “一种基于红外高光谱的纺织品成分定量反演方法”，ZL202410182019.6（已授权）

9. 涂兵，米阳，陈云云，曹兆楼，匡文剑，叶井飞，“一种高光谱图像异常检测方法”， ZL202410544586.1（已授权）

8. 涂兵，张峻华，叶井飞，曹兆楼，匡文剑，陈云云，王琳， “ 一种基于GA-LSTM高光谱定量反演的布料成分分析方法及系统”，ZL 202410214228.4（已授权）

7. 涂兵，刘博，胡江红，陈思源，彭怡书，“基于频域主动学习的高光谱图像分类方法”，ZL202410504575.0（已授权）

6. 涂兵，魏欣，曹兆楼，陈云云，叶井飞，王琳，匡文剑，“ 点云区间配对体积方差一致性的配准方法、装置与系统“ ，ZL202410211297.X（已授权）

5. 涂兵，汪文，郭龙源，何伟，“基于高斯相似度的红外目标检测方法装置介质和设备”，ZL202310637222.3（已授权）

4. 涂兵，沈文增，李武劲，郭龙源，何伟，“基于多层嵌套非全映射U型网络的红外小目标检测方法”，ZL202310780145.7（已授权）

3. 涂兵，刘哲奇，周佳栋，陈思源，魏欣，“点云缺陷检测方法、装置、系统及存储介质”，ZL202310700463.8（已授权）

2. 涂兵，刘哲奇，周佳栋，陈思源，魏欣，“一种基于快速三角特征直方图的点云粗配准方法”，ZL202310596936.4（已授权）

1. 涂兵，王锦萍，费洪燕，方乐缘，赵光哲，周承乐，何丹冰，“ 基于图像特征的集合经验模态分解的高光谱图像分类方法”，ZL201810694287.0（已授权）

 代表性科研项目

1. 国家重点研发计划课题，超高谱效宽频带光载无线传输系统，2023YFB2804805，起止时间：2023.12-2026.11，主持，在研，直接经费：281.25万元

2. 国家自然科学基金面上项目，跨场景湿地高光谱遥感图像域自适应分类方法及动态监测应用，62271200，起止时间：2023.1-2026.12，主持，在研，直接经费：56万元

3. 国家自然科学基金面上项目，湿地高光谱遥感图像小/不确定/多标签样本分类方法及动态监测应用研究，61977022，起止时间：2020.1-2023.12，主持，结题，直接经费：59万元

4. 国家自然科学基金青年项目，基于改进集合经验模态分解与稀疏表示的连续钻井液压力波信号处理方法研究，51704115，起止时间：2018.1-2020.12，主持，结题，直接经费：22万元

5. 湖南省杰出青年科学基金，湿地高光谱遥感图像分类方法及动态监测应用研究，2020JJ2017，起止时间：2020.1-2022.12，主持，结题，经费：50万元

6. 湖南省水利厅重大科技项目，基于高光谱热红外的堤防安全隐患快速探测技术及洞庭湖应用示范，XSKJ2021000-13，起止时间：2021.9-2023.12，主持，结题，经费：80万元

7. 湖南省重点领域研究计划课题，新时代国土空间规划关键技术研究与示范，2019SK2012，起止时间：2019.9-2022.12，主持，结题，经费：25万元

8. 湖南省自然科学基金青年项目，面向湖泊水域动态监测的高光谱遥感图像深层空谱特征提取分类算法研究，2019JJ50212，起止时间：2019.1-2021.12，主持，结题，经费：5万元

9. 湖南省教育厅优秀青年项目，高光谱遥感图像中河流提取与类型识别方法及洞庭湖流域应用研究，20B257，起止时间：2020.1-2022.12，主持，结题，经费：4万元

教育经历

暂无内容

工作经历

暂无内容

社会兼职

• [1]   《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》编委

• [2]   《大气与环境光学学报》青年编委

• [3]   国际数字地球协会会员中国国家委员会委员

• [4]   中国图象图形学会遥感图像专业委员会委员

• [5]   中国光学学会全息与光信息处理专委会委员

• [6]   中国仪器仪表学会嵌入式仪表及系统分会理事

研究方向

其他联系方式

团队成员

暂无内容