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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Constrained Band Subset Selection for Hyperspectral Imagery
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Constrained Band Subset Selection for Hyperspectral Imagery

机译:高光谱影像的约束带子集选择

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摘要

This letter extends the constrained band selection (CBS) technique to constrained band subset selection (CBSS) in a similar manner that constrained energy minimization has been extended to linearly constrained minimum variance. CBSS constrains multiple bands as a band subset as opposed to CBS constraining a single band as a singleton set. To achieve this goal, CBSS requires a strategy to search for an optimal band subset, while CBS does not. In this letter, two new sequential algorithms, referred to as sequential CBSS and successive CBSS, which do not exist in CBS are derived for CBSS to find desired band subsets and to avoid exhaustive search.
机译:这封信以将受约束的能量最小化扩展为线性受约束的最小方差的类似方式,将受约束的频带选择(CBS)技术扩展到受约束的子集选择(CBSS)。 CBSS将多个频带约束为一个频带子集,与CBS将单个频带约束为一个单例集相反。为了实现这一目标,CBSS需要一种策略来搜索最佳频段子集,而CBS则不需要。在这封信中,推导了CBSS中不存在的两个新的顺序算法,分别称为顺序CBSS和连续CBSS,以查找所需的波段子集并避免详尽搜索。

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