孟哲
讲师 硕士生导师
西安邮电大学
个人简介
孟哲，男，1992年10月生，博士，中共党员，陕西铜川人。陕西高校青年创新团队核心成员，西安邮电大学“优秀导师团队”成员。
教育经历
2014年6月 获西安电子科技大学学士学位
2020年6月 获西安电子科技大学博士学位 本科直博 导师：焦李成教授
工作经历
2020年7月 至 今 西安邮电大学 通信与信息工程学院（人工智能学院）讲师
研究方向
深度学习理论 高光谱遥感影像处理
孟哲，男，1992年10月生，博士，中共党员，陕西铜川人。陕西高校青年创新团队核心成员，西安邮电大学“优秀导师团队”成员。
2014年6月 获西安电子科技大学学士学位
2020年6月 获西安电子科技大学博士学位 本科直博 导师：焦李成教授
2020年7月 至 今 西安邮电大学 通信与信息工程学院（人工智能学院）讲师
深度学习理论 高光谱遥感影像处理
| 2024.10 | 团队一篇论文被IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing录用！ | |
| 2024.07 | 团队一篇论文被IEEE Geoscience and Remote Sensing Letters录用！ | |
| 2023.08 | 团队两篇论文被The 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing录用！ | |
| 1 | Zhe Meng*, Qian Yan, Feng Zhao, Gaige Chen, Wenqiang Hua, and Miaomiao Liang, Global-local multi-granularity transformer for hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: . Accepted. (二区)[Link] | 2024 |
| 2 | Jinglu He*, Ruiting Sun, Yingying Kong, Wenlong Chang, Chenglu Sun, Gaige Chen, Yinghua Li, Zhe Meng, and Fuping Wang, CPINet: Towards novel cross polarimetric interaction network for dual-polarized SAR ship classification[J]. Remote Sensing, 2024, 16(18): 3479. (二区)[Link] | 2024 |
| 3 | Zhe Meng*, Taizheng Zhang, Feng Zhao, Gaige Chen, and Miaomiao Liang, Multiscale super token transformer for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: 5508105. (三区)[Link] | 2024 |
| 4 | Wenqiang Hua*, Qianjin Hou, Xiaomin Jin, Lin Liu, Nan Sun, and Zhe Meng, A feature fusion network for polsar image classification based on physical features and deep features[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21: 4012705. (三区)[Link] | 2024 |
| 5 | Miaomiao Liang, Xianhao Zhang, Xiangchun Yu*, Lingjuan Yu, Zhe Meng, Xiaohong Zhang, and Licheng Jiao, An efficient transformer with neighborhood contrastive tokenization for hyperspectral images classification[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 131: 103979. (一区)[Link] | 2024 |
| 6 | Feng Zhao, Junjie Zhang*, Zhe Meng, Hanqiang Liu, Zhenhui Chang, and Jiulun Fan, Multiple vision architectures-based hybrid network for hyperspectral image classification[J]. Expert Systems with Applications, 2023, 234: 121032. (一区)[Link] | 2023 |
| 7 | Miaomiao Liang, Jian Dong, Lingjuan Yu*, Xiangchun Yu*, Zhe Meng, and Licheng Jiao, Self-supervised learning with learnable sparse contrastive sampling for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 5530713. (一区)[Link] | 2023 |
| 8 | Zhe Meng*, Licheng Jiao, Miaomiao Liang, and Feng Zhao, A lightweight spectral-spatial convolution module for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5505105. (三区)[Link] | 2022 |
| 9 | Junjie Zhang, Zhe Meng*, Feng Zhao*, Hanqiang Liu, and Zhenhui Chang, Convolution transformer mixer for hyperspectral image classification[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 6014205. (三区)[Link] | 2022 |
| 10 | Miaomiao Liang, Huai Wang, Xiangchun Yu*, Zhe Meng, Jianbing Yi, and Licheng Jiao, Lightweight multilevel feature fusion network for hyperspectral image classification[J]. Remote Sensing, 2022, 14(1): 79. (二区)[Link] | 2022 |
| 11 | Miaomiao Liang, Qinghua He, Xiangchun Yu*, Huai Wang, Zhe Meng, and Licheng Jiao, A dual multi-head contextual attention network for hyperspectral image classification[J]. Remote Sensing, 2022, 14(13): 3091. (二区)[Link] | 2022 |
| 12 | Zhe Meng*, Feng Zhao, Miaomiao Liang, and Wen Xie, Deep residual involution network for hyperspectral image classification[J]. Remote Sensing, 2021, 13(16): 3055. (二区)[Link] | 2021 |
| 13 | Feng Zhao, Junjie Zhang, Zhe Meng*, and Hanqiang Liu, Densely connected pyramidal dilated convolutional network for hyperspectral image classification[J]. Remote Sensing, 2021, 13(17): 3396. (二区)[Link] | 2021 |
| 14 | Zhe Meng*, Feng Zhao, and Miaomiao Liang, SS-MLP: A novel spectral-spatial mlp architecture for hyperspectral image classification[J]. Remote Sensing, 2021, 13(20): 4060. (二区)[Link] | 2021 |
| 15 | Zhe Meng*, Licheng Jiao, Miaomiao Liang, and Feng Zhao, Hyperspectral image classification with mixed link networks[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 2494-2507. (二区)[Link] | 2021 |
| 16 | Zhe Meng, Lingling Li*, Licheng Jiao, Zhixi Feng, Xu Tang, and Miaomiao Liang, Fully dense multiscale fusion network for hyperspectral image classification[J]. Remote Sensing, 2019, 11(22): 2718. (二区)[Link] | 2019 |
| 17 | Miaomiao Liang*, Licheng Jiao, and Zhe Meng, A superpixel-based relational autoencoder for feature extraction of hyperspectral images[J]. Remote Sensing, 2019, 11(20): 2454. (二区)[Link] | 2019 |
| 18 | Zhe Meng, Lingling Li*, Xu Tang, Zhixi Feng, Licheng Jiao, and Miaomiao Liang, Multipath residual network for spectral-spatial hyperspectral image classification[J]. Remote Sensing, 2019, 11(16): 1896. (二区)[Link] | 2019 |
| 1 | Zhe Meng*, Qian Yan, Feng Zhao, and Miaomiao Liang, Multi-scale feature attention and transformer for hyperspectral image classification[C]//Proceedings of the 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, Athens, Greece, 2023: 1-5. (EI)[Link] | 2023 |
| 2 | Zhe Meng*, Qian Yan, Feng Zhao, and Miaomiao Liang, Hyperspectral image classification with dynamic spatial-spectral attention network[C]//Proceedings of the 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, Athens, Greece, 2023: 1-4. (EI)[Link] | 2023 |
| 3 | Zhe Meng, Junjie Zhang, Feng Zhao*, Hanqiang Liu, and Zhenhui Chang, Residual dense asymmetric convolutional neural network for hyperspectral image classification[C]//Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022: 3159-3162. (EI)[Link] | 2022 |
| 1 | 孟哲，张泰政，赵凤，陈改革，梁苗苗，基于超级词元Transformer的高光谱图像分类方法及装置，中国，申请号：202311761296.4。 | 2023 |
| 2 | 孟哲，张泰政，闫芊，赵凤，陈改革，梁苗苗，基于轻量级多尺度Transformer网络的高光谱图像分类方法及系统，中国，申请号：202311760700.6。 | 2023 |
| 3 | 孟哲，闫芊，岳攀，赵凤，益琛，陈改革，梁苗苗，基于动态卷积Transformer的高光谱图像分类方法及系统，中国，申请号：202311760963.7。 | 2023 |
| 1 | 陕西省自然科学基础研究计划项目，青年项目，2022JQ-704，基于注意力动态混合连接网络的高光谱遥感影像分类研究，2022.01-2023.12，结题，主持 |
| 2 | 陕西省教育厅科学研究计划项目，自然科学专项，22JK0556，基于视觉Transformer的高光谱遥感影像分类研究，2022.01-2023.12，结题，主持 |
| 3 | 教育部产学合作协同育人项目，西邮-华为智能基座2.0，计算机视觉，2024.01-2025.12，在研，主持 |
| 4 | 教育部产学合作协同育人项目，西邮-华为智能基座，计算机视觉，2022.01-2023.12，结题，主持 |
| 5 | 中国测绘科学研究院开放基金项目，重点课题，2024-02-02，基于知识-数据联合驱动的极化SAR图像地物分类方法研究，2024.07-2025.12，在研，参与 |
| 6 | 陕西省自然科学基础研究计划项目，青年项目，2023-JC-QN-0767，基于条件归一化生成式网络的近红外图像上色方法研究，2023.01-2024.12，在研，参与 |
| 7 | 国家自然科学基金项目，面上项目，62271390，空间电源知识驱动多源无标签数据融合的服役状态增强感知评估方法，2023.01-2026.12，在研，参与 |
| 8 | 国家自然科学基金项目，面上项目，61877066，数据驱动的混合逆问题cGANs回归及其在高光谱数据解混中的应用，2019.01-2022.12，结题，参与 |
| 1 | 数据挖掘与智能分析(双语，必修，48课时) | （2023, 2024） |
| 2 | 计算机视觉(选修，32课时) | （2023, 2024） |
| 3 | 分布式计算及应用(选修，32课时) | （2021, 2022, 2023, 2024） |
| 4 | 科研训练 | （2021, 2022） |
| 5 | 电子电路CAD技术(选修，32课时) | （2021, ） |
| 1 | IEEE Transactions on Geoscience and Remote Sensing |
| 2 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 3 | International Journal of Digital Earth |
| 4 | Remote Sensing |
| 5 | Scientific Reports |
| 6 | Sensors |
| 通信地址： | 西安市长安区西长安街618号 |
| 电子邮箱： | zhemeng@xupt.edu.cn |
| 办公地点： | 通院大楼509 |