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成果展示-2015-图信-韩晓琳

姓名:

韩晓琳

导师:

孙卫东

联系方式:

hxl15@mails.tsinghua.edu.cn

所属专业:

信息与通信工程

研究成果题目:

基于稀疏表示与深度学习的遥感图像融合与光谱超分辨率算法研究

研究成果简介:

[1] Han X, Yu J, Xue J-H, Sun W. Hyperspectral and multispectral image fusion using optimized twin dictionaries, IEEE Transactions on Image Processing (TIP), vol. 29, pp. 4709-4720, 2020.

[2] Han X, Yu J, Luo J, Sun W. Hyperspectral and multispectral image fusion using cluster-based multi-branch BP neural networks, Remote Sensing, vol. 11, no. 10, pp. 1173, 2019.

[3] Han X, Yu J, Luo J, Sun W. Reconstruction from multispectral to hyperspectral image using spectral library based dictionary learning, IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol. 57, no. 3, pp. 1325-1335, 2018.

[4] Han X, Yu J, Xue J-H, Sun W. Spectral super-resolution for RGB images using class-based BP neural networks, In 2018 Digital Image Computing: Techniques and Applications (DICTA), Canberra, Australia, pp. 721-727, 2018.12.10-13.

[5] Han X, Luo J, Yu J, Sun W. Hyperspectral image fusion based on non- factorization sparse representation and error matrix estimation, IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1155-1159, Montreal, Canada, 2017.11.14-16.

[6] Han X, Yu J, Sun W. Hyperspectral image super-resolution based on non- factorization sparse representation and dictionary learning, IEEE International Conference on In Image Processing (ICIP), pp. 963-966, Beijing, China, 2017.9.17-20.

[7] 韩晓琳,刘天娇,孙卫东. 一种基于少数波段高分辨率图像的光谱重建方法: 中国发明专利, ZL201710022913.7.

成果视频链接:

http://

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