IntroductionName：Haitao Lang Professional Title：Professor Job Title：Deputy Director of Human Resource Department, BUCT Academic Positions： Member of Information Fusion, Chinese Society of Aeronautics and Astronautics. Member of Information Technology Professional Committee, Chinese Society for Oceanology and Limnology. Editorial Board Member of the journal Remote Sensing. SPIE Life Member He received the B.E. and M.S. degrees in optical engineering from Ocean University of China, Qingdao, China, in 2000 and 2003, respectively. And received Ph.D. degrees in optical engineering from Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, China, in 2006. His research interests include machine learning, pattern recognition, and optical engineering with a focus on developing advanced image analysis and interpretation techniques for maritime remote sensing applications. He has published over 80 academic papers, been granted 4 invention patents, and served as Principal Investigator for 3 projects of the National Natural Science Foundation of China (including 2 General Programs and 1 Young Scientist Program), 2 sub-projects of the National Key Research and Development Program, 1 special fund for marine public welfare industry research from the State Oceanic Administration, 2 military projects, and more than 10 industry-funded collaborative projects. In 2015, he was selected for the Beijing Higher Education Young Elite Teacher Program. In 2014, he received the Outstanding Teacher Award from Beijing University of Chemical Technology. He has also won 2 provincial/ministerial-level teaching achievement awards. EducationWork ExperienceSocial PositionSocial ActivitiesResearchApplication Research of Machine Learning Methods in Optical and Microwave Remote Sensing Image Interpretation. The Intersection of Physics, Mathematics and Information Technology. TeachingCollege Physics Optics Optical Image Processing PostgraduatesFundingCollege Physics Optics Optical Image Processing Vertical ProjectHorizontal ProjectPublications[+][-]Selected Publications
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2030
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2029
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2028
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2027
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2026
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2025
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2024
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2023
[+][-]before 2023
1. Lang, H*., Yang G., et al. (2022). Multisource Heterogeneous Transfer Learning via Feature Augmentation for Ship Classification in SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14. 2. Lang, H*., Yang G. (2022). Semisupervised Heterogeneous Domain Adaptation via Dynamic Joint Correlation Alignment Network for Ship Classification in SAR Imagery. IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5. 3. Zhao, S., Lang, H. (2022). Improving Deep Subdomain Adaptation by Dual-Branch Network Embedding Attention Module for SAR Ship Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 8038-8048. 4. Lang, H., Xu, Y. (2021). Ship Classification in SAR Images with Geometric Transfer Metric Learning. IEEE Transactions on Geoscience and Remote Sensing. 59(8): 6799-6813. 5. Xu, Y., Lang, H*. (2020). Distribution Shift Metric Learning for Ship Classification in SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 2276-2285. 6. Niu, L., Lang, H*. (2020). Ship Matching Using Convolutional Neural Network in Multi-source Synthetic Aperture Radar Images. Journal of Coastal Research, 2020, 102: 166-175. 7. Zhao, S., Xu, Y., Li, W., Lang, H*. (2020). Optical remote sensing ship image classification based on deep feature combined distance metric learning. Journal of Coastal Research, 102: 82-87. 8. Lang, H*., Xi, Y., Zhang, X. (2019). Ship Detection in High-Resolution SAR Images by Clustering Spatially Enhanced Pixel Descriptor. IEEE Transactions on Geoscience and Remote Sensing. 57(8): 5407-5423. 9. Xu, Y., Lang, H*., Niu, L., Ge, C. (2019). Discriminative Adaptation Regularization Framework-Based Transfer Learning for Ship Classification in SAR Images. IEEE Geoscience and Remote Sensing Letters, 16(11): 1786-1790. 10. Lang, H*., Wu, S., Xu, Y. (2018). Ship classification in SAR images improved by AIS knowledge transfer. IEEE Geoscience and Remote Sensing Letters, 15(3): 439-443. 11. Lang, H*., Wu, S., et al. (2017). Ship Classification in Moderate-Resolution SAR Image by Naive Geometric Features-Combined Multiple Kernel Learning. IEEE Geoscience and Remote Sensing Letters. 14(10): 1765-7969. 12. Xi, Y., Lang, H*., et al. (2017). Four-Component Model-Based Decomposition for Ship Targets Using PolSAR Data. Remote Sensing 9(6): 621-639. 13. Lang, H*., Zhang, J., et al. (2017). A synthetic aperture radar sea surface distribution estimation by n-order Bézier curve and its application in ship detection. Acta Oceanologica Sinica, 35(9): 117-125. 14. Lang, H*., Zhang, X., et al. (2017). Dark-spot segmentation for oil spill detection based on multi-feature fusion classification in single-pol synthetic aperture radar imagery. Journal of Applied Remote Sensing, 11(1): 015006. 15. Lang, H*., Zhang, X., et al. (2016). Ship Classification in SAR Image by Joint Feature and Classifier Selection. IEEE Geoscience and Remote Sensing Letters, 13(2): 212-216. AwardspatentHonor RewardAdmissions Information |