个人简历
张玉香，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。“地大学者”青年优秀人才，湖北省自然科学奖一等奖获得者，IEEE Senior Member，IEEE TGRS、IEEE TIP、PR等图像处理领域国际权威期刊的审稿人，AAAI和IJCAI等人工智能领域顶会的PC Member。主要从事智能遥感图像处理及其地学应用研究，主持国家自然科学基金青年基金项目、中国博士后科学基金面上资助及中央高校杰出人才培育基金项目，出版学术专著一部，在IEEE TGRS、IEEE TIP、IEEE JSTARS等国际权威SCI期刊上发表30余篇论文，包含5篇ESI高被引论文。
研究兴趣
智能遥感图像处理及其地学应用研究，研究兴趣包括：
[1] 目标探测、变化检测、场景分类等遥感图像处理技术
[2] 深度学习、多任务学习、稀疏表达等机器学习理论
[3] 农业遥感、城市遥感、环境遥感等地学应用
招生计划
[1] 招生学院：地球物理与空间信息学院
[2] 招生专业：0818|地质资源与地质工程(学硕)、0857|资源与环境(专硕)
[3] 招生备注：欢迎具有较好摄影测量与遥感、测绘科学与技术、计算机科学与技术、数学等学科背景的同学报考研究生
[4] 科研实践：长期招收本科生到课题组参加科研训练，培养科研兴趣和能力，优秀者可推荐到国内外知名高校继续深造
学术兼职
[1] IEEE Transaction on Geoscience and Remote Sensing、IEEE Transactions on Knowledge and Data Engineering、IEEE Transactions on Image Processing、Pattern Recognition等图像处理领域国际权威期刊审稿人
[2] Association for the Advance of Artificial Intelligence、International Joint Conference on Artificial Intelligence等人工智能领域顶会PC Member
代表性学术论文
[1] Xi Chen, Yuxiang Zhang*, Yanni Dong , and Bo Du. “Spatial-Spectral Contrastive Self-Supervised Learning With Dual Path Networks for Hyperspectral Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, Art. no. 5515612, 2024.
[2] Yuxiang Zhang, Yang Zhao, Yanni Dong, and Bo Du. “Self-Supervised Pretraining via Multimodality Images With Transformer for Change Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 61, Art. no. 5402711, 2023.
[3] Yuxiang Zhang, Rui Miao, Yanni Dong, Bo Du. “Multiorder Graph Convolutional Network With Channel Attention for Hyperspectral Change Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 1523-1534, 2023.
[4] Yanni Dong, Xiuqing Dai, Yuxiang Zhang*, 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, Art. no. 5516514, 2023.
[5] 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.
[6] Yuxiang Zhang, Yanni Dong, Ke Wu, and Chen Tao. “Hyperspectral Anomaly Detection with Otsu-based Isolation Forest,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 9079-9088, 2021.
[7] 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高被引论文)
[8] Yuxiang Zhang, Kang Liu, Yanni Dong, Ke Wu, 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.
[9] Yuxiang Zhang, Ke Wu, Bo Du, Xiangyun Hu. “Multitask Learning-Based Reliability Analysis for Hyperspectral Target Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 7, pp. 2135-2147, 2019.
[10] Yuxiang Zhang, Bo Du, Liangpei Zhang, Tongliang Liu. “Joint Sparse Representation with Multitask Learning for Hyperspectral Target Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 55, pp. 894–906, 2017. (ESI高被引论文)
[11] Yuxiang Zhang, Ke Wu, Bo Du, Liangpei Zhang, Xiangyun Hu. “Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information,” Remote Sensing, vol. 9, no. 5, pp. 1-19, 2017.
[12] Yuxiang Zhang, Ke Wu, Bo Du, Xiangyun Hu. “Independent Encoding Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 11, pp. 1933- 1937, 2017.
[13] Yuxiang Zhang, Bo Du, Liangpei Zhang, Shugen Wang. “A Low-Rank and Sparse Matrix Decomposition Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 3, pp. 1376-1389, 2016. (ESI高被引论文)
[14] Bo Du, Yuxiang Zhang*, Liangpei Zhang, Dacheng Tao. “Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics Based Detector for Hyperspectral Images,” IEEE Transactions on Image Processing, vol. 25, no. 11, pp. 5345-5357, 2016. (ESI高被引论文)
[15] Yuxiang Zhang, Bo Du, Liangpei Zhang. “A Sparse Representation Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 3, pp. 1346-1354, 2015. (ESI高被引论文)
[16] Yuxiang Zhang, Bo Du, Liangpei Zhang, Shugen Wang. “A Nonlinear Sparse Representation Based Binary Hypothesis Model for Hyperspectral Target Detection,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, no. 6, pp. 2513-2522, 2015.
[17] 张玉香, 高旭杨, 王挺, 张良培, 杜博. “一种基于背景自学习的高光谱图像生物信息提取方法,” 计算机科学, 42卷, 4期, 292-296, 2015.
[18] 吴柯, 张玉香, 胡祥云. 智能化的遥感影像亚像元定位技术, 武汉：中国地质大学出版社, 2017.
科研项目
[1] 2021年-2024年，国家自然科学基金面上基金项目，62071438，主持
[2] 2018年-2020年，国家自然科学基金青年基金项目，61701452，主持
[3] 2018年-2019年，中国博士后科学基金面上资助，2017M612533，主持
[4] 2017年-2019年，中央高校基本科研业务费专项，CUG170617，主持
[5] 2015年-2018年，国家自然科学基金面上基金项目，61471274，参与
教育经历
[1] 2011.9-2016.6
武汉大学 遥感信息工程学院 | 摄影测量与遥感 | 工学博士学位 | 博士研究生
[2] 2007.9-2011.6
武汉大学 遥感信息工程学院 | 遥感科学与技术 | 学士学位 | 本科(学士)
工作经历
[1] 2019.7-至今
中国地质大学（武汉）
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地球物理与空间信息学院
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副教授
[2] 2016.10-2022.5
中国地质大学（武汉）
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地球物理与空间信息学院
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博士后
[3] 2019.12-2020.12
澳大利亚悉尼大学
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计算机科学学院
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国家公派访问学者
[4] 2016.7-2019.6
中国地质大学（武汉）
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地球物理与空间信息学院
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特任副教授
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