石 岩
讲 师
出生年月:1987年02月
办公电话:010-68916130
电子邮件:shy216@bit.edu.cn
所在学科
信息与通信工程
研究方向
小波分析、多源图像融合、统计机器学习
个人简历
2014.07 至今:任职于 3200威尼斯vip 3200威尼斯vip 讲师
2009.09-2014.07:就读于 北京航空航天大学 应用数学专业 博士
2005.09-2009.07:就读于 北京航空航天大学 信息与计算科学专业 本科
代表性学术成果
学术论文
[1] Y. Shi, X. Yang, Y. Guo, Translation invariant directional framelet transform combined with Gabor filters for image denoising, IEEE Trans. Image Process., 23(1)(2014) 44–55. (SCI)
[2] Y. Shi, X. Yang, T. Cheng, Pansharpening of multispectral images using the nonseparable framelet lifting transform with high vanishing moments, Information Fusion, 20(2014) 213-224. (SCI)
[3] Y. Shi, X. Yang, The lifting factorization and construction of wavelet bi-frames with arbitrary generators and scaling, IEEE Trans. Image Process., 20(9)(2011) 2439–2449. (SCI)
[4] Y. Shi, X. Yang, The lifting factorization of wavelet bi-frames with arbitrary generators, Math. Comput. Simulat., 82(4)(2011) 570–589. (SCI)
[5] X. Yang, Y. Shi, Liuhe Chen, Zongfeng Quan, The lifting scheme for wavelet bi-frames: theory, structure, and algorithm, IEEE Trans. Image Process., 19(3)(2010) 612–624. (SCI)
[6] X. Yang, Y. Shi, B. Yang, General framework of the construction of biorthogonal wavelets based on Bernstein bases: theory analysis and application in image compression, IET Comput. Vis., 5(1)(2011) 50–67. (SCI)
[7] X. Yang, Y. Shi, W. Zhou, Construction of parameterizations of masks for tight wavelet frames with two symmetric/antisymmetric generators and applications in image compression and denoising, J. Comput. Appl. Math., 235(8)(2011) 2112–2136. (SCI)
[8] Y. Shi, W. Zhou, W. Li, Pansharpening of multispectral images based on cycle-spinning quincunx lifting transform;2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 1-5, 2019.12 (Excellent Paper, EI)
[9] Y. Shi, A new pansharpening algorithm using morphological lifting transform;2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP), 250-254, 2018.7 (Best Paper, EI)
[10] X. Hu, Y. Shi, W. Li, Improved multiresolution analysis method for hyperspectral pansharpening;2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2778-2781, 2019.7 (EI)
教材专著
l 《基于框架理论的图像融合》,杨小远、石岩、王敬凯,科学出版社,2019.6
l 《随机信号分析与处理》,石岩、赵娟、陶然、郇浩,清华大学出版社,2021
科研项目
l 基于框架提升变换的多源图像融合研究,国家自然科学基金委青年科学基金项目,2016-2018,主持
l 以计算机视觉为核心的多传感器列车运行状态路侧感知理论与方法,北京市自然科学基金委丰台轨道交通联合基金,2019-2022,参与
荣誉奖励
l 3200威尼斯vip第十二届青年教师教学基本功比赛,三等奖,2020
l “信号处理理论与技术I/II/III”国家级一流本科课程,团队成员,2020
l 3200威尼斯vip优秀共产党员,2020
l 3200威尼斯vip招生工作贡献奖,2018
l 3200威尼斯vip优秀班主任, 2018
教学工作
l “信号处理理论与技术III”,本科生课程,春季学期
l “多抽样率信号处理”,研究生课程,秋季学期