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 麻痘miya忘忧草一区 麻痘miya忘忧草一区 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