Hyperspectral image super-resolution extending: An effective fusion based method without knowing the spatial transformation matrix

Yong Li, Lei Zhang, Chunna Tian, Chen Ding, Yanning Zhang, Wei Wei

科研成果: 书/报告/会议事项章节会议稿件同行评审

12 引用 (Scopus)

摘要

Hyperspectral image (HSI) super-resolution, a technique to obtain higher (often spatial) resolution image from the original image, has been extensively studied and applied to lots of fields such as computer vision, remote sensing, etc. Though fusion based method has achieved state-of-the-art result, it always assume the spatial transformation matrix is given in advance, whereas such a matrix is actually unknown in reality. An unsuitable given matrix will deteriorate the superresolution result greatly. To address this issue, we propose a novel fusion based HSI super-resolution method without knowing the spatial transformation matrix. Specifically, we incorporate super-resolution and spatial transformation matrix estimation into a unified framework. We alternately estimate the matrix and the higher spatial resolution HSI. We find that without given the spatial transformation matrix, the proposed method can obtain more accurate reconstruction result compared with other competing methods. Experimental results demonstrate the effectiveness of the proposed method.

源语言英语
主期刊名2017 IEEE International Conference on Multimedia and Expo, ICME 2017
出版商IEEE Computer Society
1117-1122
页数6
ISBN(电子版)9781509060672
DOI
出版状态已出版 - 28 8月 2017
活动2017 IEEE International Conference on Multimedia and Expo, ICME 2017 - Hong Kong, 香港
期限: 10 7月 201714 7月 2017

出版系列

姓名Proceedings - IEEE International Conference on Multimedia and Expo
ISSN(印刷版)1945-7871
ISSN(电子版)1945-788X

会议

会议2017 IEEE International Conference on Multimedia and Expo, ICME 2017
国家/地区香港
Hong Kong
时期10/07/1714/07/17

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