个人简历

董燕妮，山东威海人，武汉大学工学学士、工学博士，现为中国地质大学（武汉）地球物理与空间信息学院副教授，硕士生导师，中国地质大学（武汉）地大学者-青年优秀人才计划入选者，曾获香港理工大学“香江学者”奖（Hong Kong Scholar）、2018年中国图象图形学学会(CSIG)优秀博士学位论文提名奖。

目前主持国家自然科学基金面上项目1项，青年基金项目1项，全国博士后管委会香江学者项目1项，中央高校杰出人才培育基金项目1项及多项开放基金。主要从事模式识别与机器学习在遥感影像及其地学中应用的研究，已在IEEE TCybern、IEEE TGRS、ISPRS和IEEE JSTARS等国际刊物上发表SCI检索论文20余篇（一作/通讯作者19篇），担任IEEE TCybern、TGRS、TIP、TNNLS、ISPRS、PR等多个SCI期刊审稿人，及AAAI、IJCAI等国际会议的PC/reviewer。

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、城市遥感等地学应用

欢迎加入！！！

欢迎具有较好遥感/地信/计算机/信息/数学背景的本科生攻读本人硕士研究生！若愿意与我一起学习，请与我联系。

招生专业

地球物理与空间信息学院（https://dkxy.cug.edu.cn）

2022年硕士生考试大纲（https://dkxy.cug.edu.cn/info/1050/2723.htm）

学硕：（081800）地质资源与地质工程-地球信息技术方向

专硕：（085700）资源与环境-地球信息技术方向

教育背景

2012.9-2017.6  武汉大学  测绘遥感信息工程国家重点实验室 获工学博士学位（硕博连读）

2008.9-2012.6  武汉大学  遥感信息工程学院 获工学学士学位

工作经历

2020.7-至今副教授中国地质大学(武汉)  地球物理与空间信息学院

2019.1-2021.1  博士后研究员  香港理工大学  土地测量及地理资讯学系

2017.7-2020.6特任副教授中国地质大学(武汉)  地球物理与空间信息学院

主持项目

1. 2022.1-2025.12，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。

2. 2019.1-2021.12，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。

2. 2019.1-2020.12，全国博士后管委会2018年香江学者计划“基于地球大数据分析的城市聚落制图新方法”，项目负责人。

3. 2017.7-2020.7，中央高校基本科研业务费专项项目“基于降维测度学习的高光谱遥感影像分类研究”，项目负责人。

代表性论文 [Google Scholar]

[20] 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, 2022, doi: 10.1109/LGRS.2022.3149141.

[19] 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.

[18]  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, 2022, doi: 10.1109/JSTARS.2022.3140756. 

[17]  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, 2021, doi: 10.1109/TGRS.2021.3123651.

[16] Yan Liu, Renguang Zuo, and Yanni Dong, “Analysis of Temporal and Spatial Characteristics of Urban Expansion in Xiaonan District from 1990 to 2020 Using Time Series Landsat Imagery”, Remote Sensing, vol. 13, no. 21, pp. 4299, 2021.

[15] Yuxiang Zhang, Yanni Dong*, Tao Chen, and Ke Wu, “Hyperspectral Anomaly Detection With Otsu-Based Isolation Forest,” I EEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp.9079-9088, 2021.

[14] Yanni Dong, Wenzhong Shi, Bo Du, Xiangyun Hu, and Liangpei Zhang, “Asymmetric Weighted Logistic Metric Learning for Hyperspectral Target Detection,” IEEE Transactions on Cybernetics, 2021, doi: 10.1109/TCYB.2021.3070909.

[13] Yanni Dong, Cong Yang, and Yuxiang Zhang, “Deep Metric Learning with Online Hard Mining for Hyperspectral Classification,” Remote Sensing, vol.13, no. 7, pp. 1368, 2021.  (DMLOHM_code)

[12] 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, June 2021. (SSWK-MEDA_code) （ESI highly cited paper (Top 1%)）

[11] 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, April 2019.

[10] Ziye Wang, Renguang Zuo, and Yanni Dong*, “Mapping Geochemical Anomalies Through Integrating Random Forest and Metric Learning Methods,” Natural Resources Research, vol. 28, pp. 1285–1298, March 2019.

[9] Ziye Wang, Renguang Zuo, and Yanni Dong*, “Mapping of Himalaya Leucogranites Based on ASTER and Sentinel-2A Datasets Using a Hybrid Method of Metric Learning and Random Forest,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 1925-1936, Apr. 2020.

[8] 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, August 2020.

[7] Yanni Dong, Bo Du, Liangpei Zhang, and Xiangyun Hu, “Hyperspectral Target Detection via Adaptive Information-Theoretic Metric Learning with Local Constraints,” Remote Sensing, vol.10, no. 9, pp. 1415, 2018.

[6] Yanni Dong, Bo Du, Liangpei Zhang, and Lefei Zhang. “Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 5, pp. 2509-2524, May, 2017.

[5] Yanni Dong, Bo Du, Lefei Zhang, and Liangpei Zhang, “LAM3L: Locally Adaptive Maximum Margin Metric Learning for Visual Data Classification,” Neurocomputing, vol. 235, pp. 1-9, April, 2017.

[4] Yanni Dong, Bo Du, Liangpei Zhang, and Lefei Zhang, “Exploring Locally Adaptive Dimensionality Reduction for Hyperspectral Image Classification: A Maximum Margin Metric Learning Aspect,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 3, pp. 1136-1150, March, 2017.

[3] Yanni Dong, Liangpei Zhang, Lefei Zhang, and Bo Du, “Maximum Margin Metric Learning Based Target Detection for Hyperspectral Images,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 108, pp. 138-150, October, 2015.

[2] Yanni Dong, Bo Du, and Liangpei Zhang, “Target Detection Based on Random Forest Metric Learning,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 4, pp. 1830-1838, April, 2015.

[1]  董燕妮, 杜博, 张乐飞, 张良培, 基于局域自适应信息理论测度学习的高光谱目标探测方法,  武汉大学学报:信息科学版, 43(8): 1271–1277, 2018.

联系方式

通讯地址：湖北省武汉市洪山区鲁磨路388号 物探楼 

办公地址：中国地质大学（武汉）西区 基础楼 106办公室

邮编：430074

邮箱：dongyanni@cug.edu.cn