董燕妮，武汉大学资源与环境科学学院教授、博士生导师，国家优秀青年科学基金获得者。主要从事空间数据智能处理与遥感地学解译等方面的研究，已在IEEE TCybern、IEEE TIP、IEEE TGRS和ISPRS等国际刊物上发表SCI检索论文四十余篇。目前是IEEE Senior Member，担任SCI期刊IEEE Geoscience and Remote Sensing Letter副主编等；获得中国图象图形学学会石青云女科学家奖、香江学者奖、中国图象图形学学会优秀博士学位论文提名奖等；主持国家自然科学基金优青项目、面上项目、青年项目等十余项科研项目。

主要研究方向

1. 目标探测、特征降维与分类、场景分类及变化检测等遥感图像处理与分析

2. 测度学习、迁移学习、流形学习及深度学习等模式识别与机器学习

3. 矿物制图、岩体识别、地质灾害遥感、城市遥感等地学智能应用

欢迎加入！！！

长期招收地信/遥感/计算机/信息/数学等专业背景的博士后、博士生，硕士生（推免和统考），欢迎申请！

长期招收本科生到课题组开展科研训练，欢迎联系！

学生培养

2022年指导的硕士生杨聪获得中国图象图形学报研究生学术论坛二等奖；

2022年指导的硕士生金垚获得遥感学报研究生学术论坛二等奖；

指导本科生获批省级大学生创新创业训练项目3项；

指导研究生获校级优秀硕士学位论文2次、优秀博士学位论文1次；

指导研究生获得国家奖学金共5人次。

学术任职

2023- ，Associate Editor，IEEE Geoscience and Remote Sensing Letters

2022- ，IEEE Senior Member

2021- ，Secretary，IEEE GRSS Wuhan Chapter

2021、2022、2023，Guest Editor, Remote Sensing

1.Recent Advances in Hyperspectral Image Processing （-2022.6.30）

2.Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection I （-2023.6.30）

3.Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II （-2024.2.29）

主持项目

1. 国家自然科学基金优秀青年科学基金项目“高光谱遥感图像解译”，项目负责人。

2. 国家自然科学基金面上项目“高光谱遥感图像分类的深度迁移测度学习方法研究”，项目负责人。

3. 国家自然科学基金青年基金项目“基于测度学习的高光谱遥感图像目标探测方法研究”，项目负责人。

4. 全国博士后管委会“基于地球大数据分析的城市聚落制图新方法”，项目负责人。

近三年代表性论文

[1]. Yanni Dong, Zhenzhen Yang, Ziye Wang, and Renguang Zuo, “Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network,” International Journal of Applied Earth Observation and Geoinformation, vol. 129, pp. 103780, 2024.

[2]. Yanni Dong, Xuexiang Qin, Xue Li, and Lina Xu, “Multilevel Spatial Features-Based Manifold Metric Learning for Domain Adaptation in Remote Sensing Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, 2023, Art no. 5527414, 2023.

[3]. Yanni Dong, Xiuqing Dai, Yuxiang Zhang, and Bo Du, “A Lightweight Convolutional Neural Network Based on Joint Correlation Distance Constraints and Density Peak Clustering for Hyperspectral Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-14, Art no. 5516514, 2023.

[4]. Yuxiang Zhang, Yang Zhao, Yanni Dong* and Bo Du, “Self-supervised Pre-training via Multi-modality Images with Transformer for Change Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-11, Art no. 5402711, 2023.

[5]. Cong Yang, Yanni Dong*, Bo Du and Liangpei Zhang, “Attention-Based Dynamic Alignment and Dynamic Distribution Adaptation for Remote Sensing Cross-Domain Scene Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, Art no. 5634713, 2022.

[6]. Yao Jin, Yanni Dong*, Yuxiang Zhang and Xiangyun Hu, “SSMD: Dimensionality Reduction and Classification of Hyperspectral Images Based on Spatial-Spectral Manifold Distance Metric Learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp.1-16, Art no. 5538916, 2022.

[7]. Quanwei Liu, Yanni Dong*, Yuxiang Zhang and Hui Luo, “A Fast Dynamic Graph Convolutional Network and CNN Parallel Network for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, Art no. 5530215, 2022.

[8]. Jaxin Nie, Yanni Dong* and Renguang Zuo, “Construction Land Information Extraction and Expansion Analysis of Xiaogan City Using One-Class Support Vector Machine,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 3519-3532, 2022.

[9]. Yanni Dong, Tianyang Liang, Cong Yang, Hui Luo and Yuxiang Zhang, “Joint Distance Transfer Metric Learning for Remote Sensing Image Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 19, no. 6506205, pp. 1-5, 2022.

[10]. Yanni Dong, Quanwei Liu, Bo Du, and Liangpei Zhang, “Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification,” IEEE Transactions on Image Processing, vol. 31, pp. 1559-1572, 2022.（ESI highly cited paper (Top 1%)）

[11]. Yanni Dong, Yuxiang Zhang, and Bo Du, “Symmetric Information–Theoretic Metric Learning for Target Detection in Hyperspectral Imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 1470-1480, 2022.

[12]. Yanni Dong, Yao Jin and Shunbo Cheng, “Clustered Multiple Manifold Metric Learning for Hyperspectral Image Dimensionality Reduction and Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 60, Art no. 5516813, pp. 1-13, 2022.

[13]. Yanni Dong, Wenzhong Shi, Bo Du, Xiangyun Hu and Liangpei Zhang, “Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection,” IEEE Transactions on Cybernetics, vol. 52, no. 10, pp. 11093-11106, 2022.

[14]. Yanni Dong, Tianyang Liang, Yuxiang Zhang and Bo Du, “Spectral-Spatial Weighted Kernel Manifold Embedded Distribution Alignment for Remote Sensing Image Classification,” IEEE Transactions on Cybernetics, vol. 51, no. 6, pp. 3185-3197, 2021.（ESI highly cited paper (Top 1%)）

[15]. Yuxiang Zhang, Kang Liu, Yanni Dong*, Ke Wu, and Xiangyun Hu, “Semisupervised Classification Based on SLIC Segmentation for Hyperspectral Image,” IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 8, pp. 1440-1444, 2020.

[16]. Ziye Wang, Yanni Dong*, and Renguang Zuo, “Mapping Geochemical Anomalies Related to Fe–polymetallic Mineralization Using the Maximum Margin Metric Learning Method,” Ore Geology Reviews, vol. 107, pp. 258–265, 2019.

联系方式

通讯地址：湖北省武汉市洪山区珞喻路129号  邮编：430079

办公地址：武汉大学 资源与环境科学学院 附楼319

邮箱：dongyanni@whu.edu.cn