ON THE DIRECT ASSESSMENT OF ENDMEMBER FRACTIONS IN HYPERSPECTRAL IMAGES

被引：0

作者：

Marinoni, Andrea ^{[1
]}

Gamba, Paolo ^{[1
]}

机构：

[1] Univ Pavia, Dipartimento Ingn Ind & Informaz, Pavia, Italy

来源：

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年

关键词：

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Hyperspectral unmixing frameworks are ultimately designed to understand and quantify the actual distribution of endmembers in a given scene. Assessing the percentage of each material is typically cumbersome, especially in images characterized by complex combinations of spectral signatures. In this work, we present a nonlinear programming scheme that aims at providing direct estimation of the endmembers fractions. Experimental results show that the proposed method is able to deliver accurate and reliable estimates of these quantities in hyperspectral images.

引用

页码：197 / 200

页数：4

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