邵佳


姓名



邵佳



性别






职称



讲师



学位



博士



电话




邮箱



  shaojia@mail.hzau.edu.cn




政治面貌



群众



工作单位



华中农业大学信息学院




研究方向



计算机视觉、机器学习、遥感对地观测



教育经历



武汉大学博士



主要职历











科研成果







科研项目:


1.国家自然科学基金青年项目,基于多任务学习的卫星视频目标跟踪方法研究,项目编号62101203,2022-2024,30万,主持;

2.校自主创新基金,面向高分辨率卫星视频的目标跟踪研究,项目编号2662021XXQD002,2021-2023,20万,主持;

3.国家自然科学基金面上项目,基于大规模数据的统计多标签学习理论研究,2020-2023,61万,参与;

4.国家自然科学基金优秀青年项目,高光谱遥感图像处理,2019-2021,130万,参与;

5.国家自然科学基金重点项目,数据驱动的高光谱遥感影像特征表达、迁移学习 其在城市地理信息提取中的应用,2015-2019,350万,参与;

6.国防科技创新特区项目,面向"吉林一号"视频卫星大数据的超分辨率重建和目标跟踪技术,2017-2018,100万,参与;



发表论文:

【1】J. Shao, B. Du*, C. Wu, M. Gong and T. Liu, "HRSiam: High-Resolution Siamese Network, Towards Space-borne Satellite Video Tracking”, IEEE Transactions on Image Processing, 2021, 30, pp. 3056-3068. (SCI Q1, CCF A期刊, IF: 9.34)

【2】J. Shao, B. Du*, C. Wu and L. Zhang, "Can We Track Targets From Space? A Hybrid Kernel Correlation Filter Tracker for Satellite Video", IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11), pp. 8719-8731. (SCI Q1, CCF B期刊, IF: 5.855)

【3】J. Shao, B. Du*, C. Wu and L. Zhang, "Tracking Objects From Satellite Videos: A Velocity Feature Based Correlation Filter", IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(10), pp. 7860-7871. (SCI Q1, CCF B期刊, IF: 5.855)

【4】J. Shao, W. Meng, G. Sun*, "Evaluation of missing value imputation methods for wireless soil datasets", Personal and Ubiquitous Computing, 2017, 21(1), pp. 113-123. (SCI Q2, 期刊, IF: 2.212)

【5】J. Shao, B. Du*, C. Wu, J. Wu, R. Hu and X. Li, "VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking", IEEE International Conference on Multimedia and Expo, San Diego, USA, July 23-27, 2018. (EI, CCF B会议, Oral)

【6】J. Shao, B. Du*, C. Wu, and Y. Pingkun, "PASiam: Predicting Attention Inspired Siamese Network, for Space-Borne Satellite Video Tracking", IEEE International Conference on Multimedia and Expo, Shanghai, China, July 8-12, 2019. (EI, CCF B会议)

【7】J. Shao, G. Sun*, G. Yang, Y. Wang and X. Ding, "EasyRBF: Towards Infilling Missing Soil Data," International Conference on Big Data Computing and Communications, Chengdu, 2017, pp. 376-385. (EI, 会议)

【8】G. Sun*, J. Shao, H. Han, et al., "Missing Value Imputation for Wireless Sensory Soil Data: A Comparative Study", International Conference on Big Data Computing and Communications, 2016. (EI, 会议)



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