Nonlinear unmixing with multiple reflection for hyperspectral remote sensing imagery

Shih Min Syu, Hsuan Ren

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Because of spatial resolution, each pixel in hyperspectral images usually contains more than one material. Linear mixture model is developed for this problem and has been widely studied. This model assumes the spectrum of a pixel is linearly combined by all the resident materials, and it ignores the interaction between materials. Nonlinear models have recently drawn lots of attentions for spectral unmixing. The generalized bilinear model (GBM) has been proposed for nonlinear mixture which considers the second order interactions between two different endmembers. However, it neglects the possibility of second order interactions between the same endmembers. In this study, we propose a modified GBM (MGBM) by considering second order reflection between all the endmembers. The positivity and sum-to-one constraints for the abundances are ensured by the proposed algorithms. The performance of the resulting unmixing strategy is evaluated via simulations conducted on synthetic and real data.

原文???core.languages.en_GB???
主出版物標題34th Asian Conference on Remote Sensing 2013, ACRS 2013
發行者Asian Association on Remote Sensing
頁面1105-1111
頁數7
ISBN(列印)9781629939100
出版狀態已出版 - 2013
事件34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia
持續時間: 20 10月 201324 10月 2013

出版系列

名字34th Asian Conference on Remote Sensing 2013, ACRS 2013
2

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???event.eventtypes.event.conference???34th Asian Conference on Remote Sensing 2013, ACRS 2013
國家/地區Indonesia
城市Bali
期間20/10/1324/10/13

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