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    • 6. 发明申请
    • Image navigation and registration accuracy improvement using parametric systematic error correction
    • 使用参数化系统误差校正的图像导航和注册精度提高
    • US20100228481A1
    • 2010-09-09
    • US12800450
    • 2010-05-14
    • Ahmed KamelJonathan SheffieldMark McLaren
    • Ahmed KamelJonathan SheffieldMark McLaren
    • G01C21/24
    • G01C21/00G01S3/7867G01S5/16
    • A novel Parametric Systematic Error Correction (ParSEC) system is disclosed which provides improved system accuracy for image navigation and registration (INR). This system may be employed in any suitable imaging system and, more specifically, to all imaging systems that exhibit systematic distortion. The ParSEC system may be employed to any such system regardless of sensing type (remote or in situ) or imaging media (photon or charged particle) and is further applicable to corrected imaging of any celestial body currently detectable to remove distortion and systematic error from the imaging system employed. The ParSEC system of the instant invention comprises a software algorithm that generates at least about 12 correction coefficients for each of the INR system measurements such as stars, visible landmarks, infrared (IR) landmarks and earth edges. An iterative estimation algorithm such as, for example, least squares or Kalman filters may be employed to determine the at least about 12 correction coefficients from each set of measurement residuals. The improved image products provide more accurate weather forecasting such as wind velocity and temperature.
    • 公开了一种新颖的参数系统误差校正(ParSEC)系统,其提供用于图像导航和注册(INR)的改进的系统精度。 该系统可用于任何合适的成像系统,更具体地,可应用于所有呈现系统失真的成像系统。 ParSEC系统可以用于任何这样的系统,而不管感测类型(远程或原位)或成像介质(光子或带电粒子),并且还可应用于当前可检测的任何天体的校正成像,以从 成像系统。 本发明的ParSEC系统包括为每个INR系统测量(例如星星,可见地标,红外(IR)地标和地球边缘)生成至少约12个校正系数的软件算法。 可以采用诸如最小二乘法或卡尔曼滤波器的迭代估计算法来确定来自每组测量残差的至少约12个校正系数。 改进的图像产品提供更准确的天气预报,如风速和温度。
    • 7. 发明申请
    • Image navigation and registration accuracy improvement using parametric systematic error correction
    • 使用参数化系统误差校正的图像导航和注册精度提高
    • US20080114546A1
    • 2008-05-15
    • US11599868
    • 2006-11-15
    • Ahmed KamelJonathan SheffieldMark McLaren
    • Ahmed KamelJonathan SheffieldMark McLaren
    • G01C21/00
    • G01C21/00G01S3/7867G01S5/16
    • A novel Parametric Systematic Error Correction (ParSEC) system is disclosed which provides improved system accuracy for image navigation and registration (INR). This system may be employed in any suitable imaging system and, more specifically, to all imaging systems that exhibit systematic distortion. The ParSEC system may be employed to any such system regardless of sensing type (remote or in situ) or imaging media (photon or charged particle) and is further applicable to corrected imaging of any celestial body currently detectable to remove distortion and systematic error from the imaging system employed. The ParSEC system of the instant invention comprises a software algorithm that generates at least about 12 correction coefficients for each of the INR system measurements such as stars, visible landmarks, infrared (IR) landmarks and earth edges. An iterative estimation algorithm such as, for example, least squares or Kalman filters may be employed to determine the at least about 12 correction coefficients from each set of measurement residuals. The improved image products provide more accurate weather forecasting such as wind velocity and temperature.
    • 公开了一种新颖的参数系统误差校正(ParSEC)系统,其提供用于图像导航和注册(INR)的改进的系统精度。 该系统可用于任何合适的成像系统,更具体地,可应用于所有呈现系统失真的成像系统。 ParSEC系统可以用于任何这样的系统,而不管感测类型(远程或原位)或成像介质(光子或带电粒子),并且还可应用于当前可检测的任何天体的校正成像,以从 成像系统。 本发明的ParSEC系统包括为每个INR系统测量(例如星星,可见地标,红外(IR)地标和地球边缘)生成至少约12个校正系数的软件算法。 可以采用诸如最小二乘法或卡尔曼滤波器的迭代估计算法来确定来自每组测量残差的至少约12个校正系数。 改进的图像产品提供更准确的天气预报,如风速和温度。
    • 8. 发明授权
    • Image navigation method using parametric systematic error correction
    • 使用参数系统误差校正的图像导航方法
    • US08301377B2
    • 2012-10-30
    • US12800450
    • 2010-05-14
    • Ahmed KamelJonathan SheffieldMark McLaren
    • Ahmed KamelJonathan SheffieldMark McLaren
    • G01C21/00
    • G01C21/00G01S3/7867G01S5/16
    • A novel Parametric Systematic Error Correction (ParSEC) system is disclosed which provides improved system accuracy for image navigation and registration (INR). This system may be employed in any suitable imaging system and, more specifically, to all imaging systems that exhibit systematic distortion. The ParSEC system may be employed to any such system regardless of sensing type (remote or in situ) or imaging media (photon or charged particle) and is further applicable to corrected imaging of any celestial body currently detectable to remove distortion and systematic error from the imaging system employed. The ParSEC system of the instant invention comprises a software algorithm that generates at least about 12 correction coefficients for each of the INR system measurements such as stars, visible landmarks, infrared (IR) landmarks and earth edges. An iterative estimation algorithm such as, for example, least squares or Kalman filters may be employed to determine the at least about 12 correction coefficients from each set of measurement residuals. The improved image products provide more accurate weather forecasting such as wind velocity and temperature.
    • 公开了一种新颖的参数系统误差校正(ParSEC)系统,其提供用于图像导航和注册(INR)的改进的系统精度。 该系统可用于任何合适的成像系统,更具体地,可应用于所有呈现系统失真的成像系统。 ParSEC系统可以用于任何这样的系统,而不管感测类型(远程或原位)或成像介质(光子或带电粒子),并且还可应用于当前可检测的任何天体的校正成像,以从 成像系统。 本发明的ParSEC系统包括为每个INR系统测量(例如星星,可见地标,红外(IR)地标和地球边缘)生成至少约12个校正系数的软件算法。 可以采用诸如最小二乘法或卡尔曼滤波器的迭代估计算法来确定来自每组测量残差的至少约12个校正系数。 改进的图像产品提供更准确的天气预报,如风速和温度。