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高云浩



  

  高云浩              电话:010-68918217

  预聘副教授、博士生导师      邮箱:gaoyunhao@bit.edu.cn

  北京理工大学信息与电子学院    地址:北京理工大学信息科学实验楼510


所在学科:

信息与通信工程


研究方向:

多源遥感协同感知、图像融合、分类解译等


个人简历:

2026.07-至今:任职于 北京理工大学 信息与电子学院

2024.07-2026.06:任职于 北京理工大学 信息与电子学院 博士后

2020.09-2024.06:就读于 北京理工大学 信息与通信工程专业 博士

2017.09-2020.06:就读于 中国海洋大学 农业信息化专业 硕士

2013.09-2017.06:就读于 中国海洋大学 电子信息工程专业 本科


代表性学术成果:

长期从事多源遥感协同感知及其应用研究,入选中国电子学会青托,主持国家自然科学基金青年项目、北京市基金青年项目、博士后国资计划、博士后特别资助等。在IEEE TIPIEEE TNNLSIEEE TGRS等发表SCI等高水平论文20余篇,部分学术成果如下:


[1] C. Gao, Y. Gao*, D. Weng, J. Li, W. Li, R. Tao, X-G. Xia, "MIFTr: Efficient Universal Image Matching with Modality-Invariant Feature Transformer," IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 1-17, 2026, Art no. 5510817.

[2] X. Song, Y. Gao*, M. Zhang, W. Li, R. Tao, "WaveHFG: High-Frequency Guidance for Heterogeneous Remote Sensing Image Change Detection With Wavelet Features," IEEE Transactions on Geoscience and Remote Sensing, vol. 64, pp. 1-14, 2026, Art no. 5603214.

[3] Y. Gao, G. Wang*, W. Li, M. Zhang, J. Zhang, R. Tao, "Multisource Remote Sensing Data Collaboration: Technological Progress, Challenges, and Prospects for Intelligent Applications," Chinese Journal of Electronics, vol. 35, no. 3, pp. 1-12, 2026.

[4] L. Song, Y. Gao*, Y. Gui, D. Jiang, M. Zhang, H. Liu, W. Li, "LHAS: A Lightweight Network Based on Hierarchical Attention for Hyperspectral Image Segmentation," IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, 2025, Art no. 5508012.

[5] Y. Gao, M. Zhang*, W. Li and R. Tao, "Distribution-Independent Domain Generalization for Multisource Remote Sensing Classification," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 7 pp. 13333-13344, 2025.

[6] L. Song, Y. Gao*, L. Lan, X. Jiang, X. Yin, D. Jiang, M. Zhang, W. Li, "LIRnet: Lightweight Hyperspectral Image Classification Based on Information Redistribution," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, 2024, Art no. 5535412.

[7] M. Zhang, Y. Zhao, R. Chen, Y. Gao*, Z. Li and W. Li, "Remote Sensing Collaborative Classification Using Multimodal Adaptive Modulation Network," IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-12, Art no. 5529512, 2024.

[8] Y. Gao, W. Li*, J. Wang, M. Zhang and R. Tao, "Relationship Learning From Multisource Images via Spatial-Spectral Perception Network," IEEE Transactions on Image Processing, vol. 33, pp. 3271-3284, 2024. [ESI Highly Cited Paper]

[9] Y. Gao, M. Zhang, J. Wang and W. Li*, "Cross-scale Mixing Attention for Multisource Remote Sensing Data Fusion and Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, Art no. 5507815, 2023. [ESI Highly Cited Paper]

[10] Y. Gao, M. Zhang*, W. Li, X. Song, X. Jiang and Y. Ma, "Adversarial Complementary Learning for Multisource Remote Sensing Classification," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-13, Art no. 5505613, 2023. [ESI Highly Cited Paper]

[11] W. Li, Y. Gao*, M. Zhang, R. Tao, and Q. Du, "Asymmetric Feature Fusion Network for Hyperspectral and SAR Image Classification," IEEE Transactions on Neural Network and Learning Systems, vol. 34, no. 10, pp. 8057-8070, Oct. 2023. [ESI Highly Cited Paper]

[12] Y. Gao, X. Song*, W. Li, J. Wang, J. He, X. Jiang, and Y. Feng, "Fusion Classification of HSI and MSI Using a Spatial-Spectral Vision Transformer for Wetland Biodiversity Estimation," Remote Sensing, vol. 14, no. 4, p. 850, 2022.

[13] Z. Han, Y. Gao*, X. Jiang, J. Wang and W. Li, "Multisource Remote Sensing Classification for Coastal Wetland Using Feature Intersecting Learning," IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 6008405.

[14] Y. Gao, W. Li*, M. Zhang, J. Wang, W. Sun, R. Tao, and Q. Du, "Hyperspectral and Multispectral Classification for Coastal Wetland Based on Deepwise Feature Interaction Network,"IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, Art no. 5512615, 2022. [ESI Highly Cited Paper]

[15] Y. Gao, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 10748-10760, 2021


主持/主要参与项目:

[1] 高光谱多源遥感联合表征优化与协同分类技术研究,国家自然科学基金青年科学基金(C),负责人

[2] 面向湿地地物监测的高光谱多源遥感协同解译方法研究,北京市自然科学基金青年项目,负责人

[3] 多源特征联合表达的湿地地物多样性遥感分类技术研究,博士后基金特别资助项目,负责人


荣誉奖励:

[1] 教育部自然科学二等奖,2025

[2] 华为杯·第七届中国研究生人工智能创新大赛三等奖,指导教师,2025

[3] 中国电子学会高校电子信息学院院长(系主任)年会墙报激励计划,2025

[4] 北京理工大学优秀博士后,2025

[5] AIRS-2025开发大赛[星际矿脉]火星矿物高光谱分类挑战赛一等奖,指导教师,2025

[6] 国家人口健康杯科技资源共享服务创新大赛一等奖,指导教师,2024

[7] 第六届中国湿地遥感大会优秀博士论文奖,2024

[8] 第七届全国成像光谱对地观测学术研讨会优秀报告,2023


主讲课程:

《遥感原理与应用》,研究生课程,32课时