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Proceedings Paper

Spatial resolution enhancement of hyperspectral image based on the combination of spectral mixing model and observation model
Author(s): Yifan Zhang
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Paper Abstract

To improve the spatial resolution of a hyperspectral (HS) observation of a scene with the aid of an auxiliary multispectral (MS) observation, a new spectral unmixing-based HS and MS image fusion approach is presented in this paper. In the proposed fusion approach, linear spectral unmixing with sparsity constraint is employed, by taking the impact of linear observation model on linear mixing model into consideration. Simulative experiment is employed for verification and comparison. It is illustrated that the proposed approach would be more promising for practical utilization compared to some state-of-the-art approaches, due to its good balance between fusion performance and calculation cost.

Paper Details

Date Published: 23 October 2014
PDF: 7 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 924405 (23 October 2014); doi: 10.1117/12.2067355
Show Author Affiliations
Yifan Zhang, Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)

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