Endmember Extraction Using a Combination of Orthogonal Projection and Genetic Algorithm

Rezaei Y.; Mobasheri M. R.; Zoej M. J. V.; Schaepman M. E.

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Endmember Extraction Using a Combination of Orthogonal Projection and Genetic Algorithm

机译：正交投影和遗传算法相结合的端构件提取

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Common endmember extraction algorithms presume that the number of materials present is either known or may be predetermined by using spectral databases or other approaches. In this letter, we propose a new method called genetic orthogonal projection (GOP) for endmember extraction in imaging spectrometry. GOP is based on a fully unsupervised approach and uses convex geometric characteristics as well as a genetic algorithm. We compare GOP with existing endmember extraction algorithms and demonstrate that GOP partially outperforms them, without the need of a priori information.

机译：常见的端成员提取算法假定存在的材料数量是已知的，或者可以通过使用光谱数据库或其他方法预先确定。在这封信中，我们提出了一种称为遗传正交投影（GOP）的新方法，用于成像光谱学中的末端成员提取。 GOP基于完全无监督的方法，并使用凸几何特征和遗传算法。我们将GOP与现有的端成员提取算法进行了比较，并证明GOP在某种程度上优于它们，而无需先验信息。

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《Geoscience and Remote Sensing Letters, IEEE》 |2012年第2期|p.161-165|共5页
作者
Rezaei Y.; Mobasheri M. R.; Zoej M. J. V.; Schaepman M. E.;
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作者单位

Faculty of Geomatics, K.N. Toosi University of Technology, Tehran, Iran;

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正文语种 eng
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关键词
Absorption features; endmember extraction; genetic algorithm (GA); linear mixing model;

机译：吸收特征端元提取遗传算法线性混合模型;

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Endmember Extraction Using a Combination of Orthogonal Projection and Genetic Algorithm

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