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SYSTEM AND METHOD FOR PROGRESSIVE BAND SELECTION FOR HYPERSPECTRAL IMAGES

机译:高光谱图像渐进谱带选择的系统和方法

摘要

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for progressive band selection for hyperspectral images. A system having module configured to control a processor to practice the method calculates a virtual dimensionality of a hyperspectral image having multiple bands to determine a quantity Q of how many bands are needed for a threshold level of information, ranks each band based on a statistical measure, selects Q bands from the multiple bands to generate a subset of bands based on the virtual dimensionality, and generates a reduced image based on the subset of bands. This approach can create reduced datasets of full hyperspectral images tailored for individual applications. The system uses a metric specific to a target application to rank the image bands, and then selects the most useful bands. The number of bands selected can be specified manually or calculated from the hyperspectral image's virtual dimensionality.
机译:本文公开了用于高光谱图像的渐进频带选择的系统,方法和非暂时性计算机可读存储介质。一种具有模块的系统,该模块被配置为控制处理器以实践该方法,计算具有多个频带的高光谱图像的虚拟维数,以确定阈值信息级别需要多少个频带的数量Q,并基于统计量度对每个频带进行排名,从多个频带中选择Q频带以基于虚拟维数生成频带的子集,并基于频带的子集生成缩小图像。这种方法可以创建针对单个应用量身定制的完整高光谱图像的简化数据集。系统使用特定于目标应用程序的度量来对图像带进行排名,然后选择最有用的带。所选波段的数量可以手动指定,也可以根据高光谱图像的虚拟维数计算得出。

著录项

  • 公开/公告号US2012076406A1

    专利类型

  • 公开/公告日2012-03-29

    原文格式PDF

  • 申请/专利权人 KEVIN FISHER;

    申请/专利号US20100838600

  • 发明设计人 KEVIN FISHER;

    申请日2010-07-19

  • 分类号G06K9/46;G06K9/00;

  • 国家 US

  • 入库时间 2022-08-21 17:31:14

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