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    System and method for modelling moderate resolution atmospheric propagation
    2.
    发明授权
    System and method for modelling moderate resolution atmospheric propagation 失效
    用于建模中等分辨率大气传播的系统和方法

    公开(公告)号：US5884226A

    公开(公告)日：1999-03-16

    申请号：US867966

    申请日：1997-06-03

    申请人： Gail P. Anderson ,  James H. Chetwynd ,  Lawrence S. Bernstein ,  Alexander Berk ,  Prabhat K. Acharya ,  David C. Robertson ,  Eric P. Shettle

    发明人： Gail P. Anderson ,  James H. Chetwynd ,  Lawrence S. Bernstein ,  Alexander Berk ,  Prabhat K. Acharya ,  David C. Robertson ,  Eric P. Shettle

    IPC分类号： G01N21/53 ,  G01N33/00 ,  G06F169/00

    CPC分类号： G01N21/538

    摘要： Recent upgrades to the MOTRAN atmospheric radiation code improve the accuracy of its radiance predictions, especially in the presence of clouds and thick aerosols, and for multiple scattering in regions of strong molecular line absorption. MODTRAN3.5 features a generalized specification of cloud properties, while research version MODTRAN4 implements a Correlated-k (CK) approach for more accurate calculation of multiply scattered radiance. Comparisons to cloud measurements demonstrate the viability of the CK approach. The impact of these upgrades on predictions for AVIRIS viewing scenarios is discussed for both clear and clouded skies; the CK approach provides refined predictions for AVIRIS nadir and near-nadir viewing.

    摘要翻译： 最近升级到MOTRAN大气辐射代码提高了其辐射预测的准确性，特别是在云层和厚气溶胶的存在下，以及在强分子线吸收区域的多重散射。 MODTRAN3.5具有云属性的通用规范，而MODTRAN4的研究版本实现了相关k（CK）方法，以更准确地计算多重散射辐射。 与云测量的比较表明CK方法的可行性。 讨论了这些升级对AVIRIS观测情景的预测的影响，用于清晰和阴云密布的天空; CK方法为AVIRIS最低点和近最低点观察提供了精确的预测。

    Method for performing automated in-scene based atmospheric compensation for multi-and hyperspectral imaging sensors in the solar reflective spectral region
    5.
    发明授权
    Method for performing automated in-scene based atmospheric compensation for multi-and hyperspectral imaging sensors in the solar reflective spectral region 有权
    用于对太阳能反射光谱区域中的多光谱和高光谱成像传感器进行自动场景大气补偿的方法

    公开(公告)号：US06909815B2

    公开(公告)日：2005-06-21

    申请号：US10356060

    申请日：2003-01-31

    申请人： Lawrence S. Bernstein ,  Steven M. Adler-Golden ,  Timothy C. Perkins ,  Alexander Berk ,  Robert Y. Levine

    发明人： Lawrence S. Bernstein ,  Steven M. Adler-Golden ,  Timothy C. Perkins ,  Alexander Berk ,  Robert Y. Levine

    IPC分类号： G01J3/28 ,  G01N21/27 ,  G01W1/00 ,  G06K9/40

    CPC分类号： G06K9/0063 ,  G01J3/28 ,  G01N21/274 ,  G01N2021/1793 ,  G01W1/00

    摘要： A method of automatically compensating a multi- or hyper-spectral, multi-pixel image for atmospheric effects, comprising resolving a plurality of spectrally-diverse pixels from the image, determining a spectral baseline from the spectrally-diverse pixels, determining a statistical spectral deviation of the spectrally-diverse pixels, normalizing the statistical spectral deviation by applying a scale factor, and compensating image pixels with both the spectral baseline and the normalized spectral deviation. Another embodiment features a method of automatically determining a measure of atmospheric aerosol optical properties using a multi- or hyper-spectral, multi-pixel image, comprising resolving a plurality of spectrally-diverse pixels from the image, determining a statistical spectral deviation of the spectrally-diverse pixels, correcting the statistical spectral deviation for non-aerosol transmittance losses, and deriving from the statistical spectral deviation one or more wavelength-dependent aerosol optical depths. A final embodiment features a method of automatically determining a measure of atmospheric gaseous optical properties using a multi- or hyper-spectral, multi-pixel image, comprising resolving a plurality of spectrally-diverse pixels from the image, determining a statistical spectral deviation of the spectrally-diverse pixels, and deriving from the statistical spectral deviation wavelength-dependent gaseous optical depths.

    摘要翻译： 一种自动补偿用于大气效应的多光谱或超光谱多像素图像的方法，包括从图像中分辨多个光谱不同的像素，从光谱不同的像素确定光谱基线，确定统计光谱偏差 的光谱不同的像素，通过应用比例因子来归一化统计光谱偏差，以及补偿具有光谱基线和归一化光谱偏差的图像像素。 另一个实施例的特征在于一种使用多或多光谱多像素图像自动确定大气气溶胶光学特性的测量的方法，包括从图像中分辨出多个光谱不同的像素，确定光谱的统计光谱偏差 不同的像素，校正非气溶胶透射损失的统计光谱偏差，以及从统计光谱偏差导出一个或多个依赖于波长的气溶胶光学深度。 最终实施例的特征在于一种使用多或多光谱多像素图像自动确定大气气体光学特性的测量的方法，包括从图像中分辨出多个光谱不同的像素，确定图像的统计光谱偏差 光谱多样的像素，并从统计光谱偏差波导依赖的气体光学深度导出。

    Methods for atmospheric correction of solar-wavelength hyperspectral imagery over land
    6.
    发明授权
    Methods for atmospheric correction of solar-wavelength hyperspectral imagery over land 有权
    太平洋波长高光谱图在陆地大气校正方法

    公开(公告)号：US07337065B2

    公开(公告)日：2008-02-26

    申请号：US09767539

    申请日：2001-01-23

    申请人： Steven M. Adler-Golden ,  Michael Matthew ,  Alexander Berk ,  Lawrence S. Bernstein ,  Gail Anderson

    发明人： Steven M. Adler-Golden ,  Michael Matthew ,  Alexander Berk ,  Lawrence S. Bernstein ,  Gail Anderson

    IPC分类号： G01W1/00

    CPC分类号： G06K9/0063 ,  G06T5/50 ,  G06T2207/10036 ,  G06T2207/30181

    摘要： This invention discloses several improved methods of correcting for atmospheric effects on a remote image of the Earth's surface taken from above, wherein the image comprises a number of simultaneously acquired images of the same scene, each including a large number of pixels, each at a different wavelength band, and including infrared through ultraviolet wavelengths. One method is for retrieving the aerosol/haze amount (i.e., visible range) from an assumed ratio of in-band reflectances, rather than from an assumed reflectance value. Another method is for identifying cloud-containing pixels. This is used to improve the calculation of the spatially averaged radiance L*e and reflectance ρe images in standard equations. Another method greatly reduces the number of mathematical operations required to generate the reflectance values. This method operates by averaging the water vapor and ρe values over small groups of neighboring pixels, so that the same A, B, S, L*a parameter values may also be assigned to all pixels within the group. Yet another new method accounts for shifts in the wavelength calibration within the image, such as would be caused by spectral “smile”. This method loops the calculation of A, B, S and L*a over a set of possible wavelength shifts with respect to the input channel centers, and assigns the appropriate set of parameters to each pixel based on a pixel-location-dependent formula for the wavelength shift.

    摘要翻译： 本发明公开了一种用于校正从上方获取的对地球表面的远程图像的大气影响的几种改进方法，其中图像包括多个相同场景的同时获取的图像，每个图像包括大量像素，每个像素具有不同的像素 波长带，并包括通过紫外线波长的红外线。 一种方法是从假设的带内反射比率而不是假定的反射率值来检索气溶胶/雾度量（即，可视范围）。 另一种方法是识别含云像素。 这用于改进标准方程式中的空间平均辐射度L * E和反射率的影像的计算。 另一种方法大大减少了生成反射率值所需的数学运算的数量。 该方法通过在小的相邻像素组上平均水蒸汽和低温值来进行操作，使得相同的A，B，S，L * A参数值也可以 分配给组内的所有像素。 另一种新的方法考虑了图像内的波长校准的偏移，例如由光谱“微笑”引起的。 该方法使A，B，S和L * A的计算相对于输入信道中心在一组可能的波长移位中循环，并且基于一个 用于波长偏移的像素位置相关公式。