Patents by Inventor Jonathan Sheffield

Jonathan Sheffield has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 8301377
    Abstract: 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.
    Type: Grant
    Filed: May 14, 2010
    Date of Patent: October 30, 2012
    Assignee: Space Systems/Loral, Inc.
    Inventors: Ahmed Kamel, Jonathan Sheffield, Mark McLaren
  • Publication number: 20120239295
    Abstract: A Parametric Systematic Error Correction (ParSEC) method is disclosed which provides improved accuracy for image navigation and registration (INR). This method may be employed in imaging systems that exhibit systematic distortion. The ParSEC method comprises employing a Parametric Systematic Error Correction (ParSEC) system wherein coefficients for the system are determined by employing an nth order Taylor Series.
    Type: Application
    Filed: April 11, 2012
    Publication date: September 20, 2012
    Inventors: Ahmed Kamel, Jonathan Sheffield, Mark McLaren
  • Publication number: 20100228481
    Abstract: 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.
    Type: Application
    Filed: May 14, 2010
    Publication date: September 9, 2010
    Inventors: Ahmed Kamel, Jonathan Sheffield, Mark McLaren
  • Publication number: 20080114546
    Abstract: 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.
    Type: Application
    Filed: November 15, 2006
    Publication date: May 15, 2008
    Inventors: Ahmed Kamel, Jonathan Sheffield, Mark McLaren