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On the unmixing of MEx/OMEGA hyperspectral data

机译：关于MEx / OMEGA高光谱数据的分解

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摘要

This paper presents a comparative study of three different types of estimators used for supervised linear unmixing of two MEx/OMEGA hyperspectral cubes. The algorithms take into account the constraints of the abundance fractions, in order to get physically interpretable results. Abundance maps show that the Bayesian maximum a posteriori probability (MAP) estimator proposed in Themelis and Rontogiannis (2008) outperforms the other two schemes, offering a compromise between complexity and estimation performance. Thus, the MAP estimator is a candidate algorithm to perform ice and minerals detection on large hyperspectral datasets.
机译：本文介绍了三种不同类型的估计器的比较研究，这些估计器用于两个MEx / OMEGA高光谱立方体的监督线性分解。该算法考虑了丰度分数的约束，以便获得物理上可解释的结果。丰富的地图显示，Themelis和Rontogiannis（2008）提出的贝叶斯最大后验概率（MAP）估计器优于其他两种方案，从而在复杂度和估计性能之间取得了折衷。因此，MAP估计器是对大型高光谱数据集执行冰和矿物质检测的候选算法。

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  • 来源
    《Planetary and space science》 |2012年第1期|p.34-41|共8页
  • 作者

    Konstantinos E. Themelis; Frederic Schmidt; Olga Sykioti; Athanasios A. Rontogiannis; Konstantinos D. Koutroumbas; Ioannis A. Daglis;

  • 作者单位

    Department of Informatics and Telecommunications, University of Athens, Ilissia, 157 84 Athens, Greece, Institute for Space Applications and Remote Sensing, National Observatory of Athens, 152 36 Athens, Greece;

    Universite Paris-Sud, Laboratoire IDES, UMR 8148, Orsay F-91405, France ,CNRS, Orsay F-91405, France;

    Institute for Space Applications and Remote Sensing, National Observatory of Athens, 152 36 Athens, Greece;

    Institute for Space Applications and Remote Sensing, National Observatory of Athens, 152 36 Athens, Greece;

    Institute for Space Applications and Remote Sensing, National Observatory of Athens, 152 36 Athens, Greece;

    Institute for Space Applications and Remote Sensing, National Observatory of Athens, 152 36 Athens, Greece;

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  • 正文语种 eng
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  • 关键词

    hyperspectral imagery; supervised unmixing; OMEGA data; mars express;

    机译：高光谱图像;有监督的拆解;OMEGA数据;火星快车;

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