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Orthogonal matching pursuit for nonlinear unmixing of hyperspectral imagery

  • Nareenart Raksuntorn
  • , Qian Du
  • , Nicolas Younan
  • , Wei Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A simple but effective nonlinear mixture model is adopted for nonlinear unmixing of hyperspectral imagery, where the multiplication of each pair of endmembers results in a virtual endmember, representing multiple scattering effect during pixel construction process. The analysis is followed by linear unmixing for abundance estimation. Due to a large number of nonlinear terms being added in an unknown environment, the following abundance estimation may contain some error if most of endmembers do not really participate in the mixture of a pixel. Thus, sparse unmixing is applied to search the actual endmember set per pixel. The orthogonal matching pursuit (OMP) is adopted for this purpose. It can offer comparable results to the previously developed endmember variable linear mixture model (EVLMM) with much lower computational cost.

源语言英语
主期刊名2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
157-161
页数5
ISBN(电子版)9781479954032
DOI
出版状态已出版 - 3 9月 2014
已对外发布
活动2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Xi'an, 中国
期限: 9 7月 201413 7月 2014

出版系列

姓名2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings

会议

会议2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
国家/地区中国
Xi'an
时期9/07/1413/07/14

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