Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization

Jie Chen, Cédric Richard, Alfred O. Hero

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Incorporating spatial information into hyperspectral unmixing procedures has been shown to have positive effects, due to the inherent spatial-spectral duality in hyperspectral scenes. Current research works that consider spatial information are mainly focused on the linear mixing model. In this paper, we investigate a variational approach to incorporating spatial correlation into a nonlinear unmixing procedure. A nonlinear algorithm operating in reproducing kernel Hilbert spaces, associated with an ℓ1 local variation norm as the spatial regularizer, is derived. Experimental results, with both synthetic and real data, illustrate the effectiveness of the proposed scheme.

源语言英语
主期刊名2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
出版商Institute of Electrical and Electronics Engineers Inc.
7954-7958
页数5
ISBN(印刷版)9781479928927
DOI
出版状态已出版 - 2014
已对外发布
活动2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, 意大利
期限: 4 5月 20149 5月 2014

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(印刷版)1520-6149

会议

会议2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
国家/地区意大利
Florence
时期4/05/149/05/14

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