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    • 2. 发明授权
    • Method for spectral data classification and detection in diverse lighting conditions
    • 在不同照明条件下进行光谱数据分类和检测的方法
    • US07796833B2
    • 2010-09-14
    • US11676225
    • 2007-02-16
    • Leonid PolonskiyZhu Joe WangJasenka BenacJeffry Golden
    • Leonid PolonskiyZhu Joe WangJasenka BenacJeffry Golden
    • G06K9/40G06K9/46G06K9/62G06K9/00
    • G01J3/28G01J3/2823G01N21/25G01N21/274G01N2021/1793G06K9/0063
    • The invention is a method of spectral data classification that uses the decoupling of target chromaticity and lighting or illumination chromaticity in spectral data and the sorting and selection of spectral bands by values of a merit function to obtain an optimized set of combinations of spectral bands for classification of the data. The decoupling is performed in “delta-log” space. A rotation transform may be applied. For a broad range of parameters, correction of lighting chromaticity may be obtained by use of an equivalent “Planck distribution” temperature. Merit function sorting and band combination selection is performed by multiple selection criteria. The method achieves reliable pixel classification and target detection in diverse lighting or illumination, especially in circumstances where lighting is non-uniform across a scene, such as with sunlight and shadows on a partly cloudy day or in “artificial” lighting. Applications are found in homeland security, defense, environmental protection, biomedical diagnostics, industrial process and product monitoring, and other remote or standoff sensing by spectral characteristics.
    • 本发明是一种光谱数据分类的方法,其使用光谱数据中的目标色度和照明或照明色度的去耦,以及通过优值函数的值分类和选择光谱带,以获得用于分类的光谱带的组合的优化集合 的数据。 去耦在“delta-log”空间中执行。 可以应用旋转变换。 对于广泛的参数,可以通过使用等效的“普朗克分布”温度来获得照明色度的校正。 功能排序和乐队组合选择由多种选择标准进行。 该方法在不同的照明或照明中实现可靠的像素分类和目标检测,特别是在场景照明不均匀的情况下,例如在部分多云的日子或“人造”照明中的阳光和阴影的情况下。 应用于国土安全,防御,环境保护,生物医学诊断,工业过程和产品监控以及其他通过光谱特性的远程或间隔检测。