L. Zhuang,
J. Bioucas-Dias,
Fast hyperspectral image denoising and inpainting based on low-rank and sparse representations,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Vol. 11,
No. 3,
pp. 730 - 742,
February,
2018
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D. Yao,
L. Zhuang,
L. Gao,
B. Zhang,
J. Bioucas-Dias,
Hyperspectral image inpainting based on low-rank representation: a case study on tiangong-1 data,
IEEE International Geoscience and Remote Sensing Symp.- IGARSS,
Fort Worth,
United States,
July,
2017
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L. Zhuang,
J. Bioucas-Dias,
Third prize of student paper contest in 2018 IEEE International Geoscience and Remote Sensing Symposium,
Third prize of student paper contest IGARSS 2018 is presented to Lina Zhuang for the paper "Hy-demosaicing: Hyperspectral Blind Reconstruction From Spectral Subsampling".,
01-07-2018
L. Zhuang,
L. Gao,
B. Zhang,
J. Bioucas-Dias,
Best student paper award at SPIE Remote Sensing and Security+Defence International Symposia 2017,
Paper, entitled "Hyperspectral image denoising and anomaly detection based on low-rank and sparse representations", has been selected as winning presentation of the Best Student Paper Award at SPIE Remote Sensing and Security+Defence International Symposia, Warsaw, Poland 2017. The paper, written by Lina Zhuang and her supervisor José M. Bioucas-Dias, introduces a robust Hyperspectral image denoising method in presence of outliers. It is a collaboration with researchers Lianru Gao and Bing Zhang from Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences.,
01-09-2017