Patents by Inventor Michael P. DESKEVICH

Michael P. DESKEVICH 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).

  • Image processing system including iteratively biased training model probability distribution function and related methods
    Patent number: 11417087
    Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. Each training geospatial image may include pixels. The processor may be configured to operate a training model to identify a given feature from each of the training geospatial images, and to iteratively generate a probability distribution function based upon a number of pixels corresponding to the given feature and also based upon a bias factor being reduced with each iteration.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: August 16, 2022
    Assignee: HARRIS GEOSPATIAL SOLUTIONS, INC.
    Inventors: Michael P. Deskevich, Robert A. Simon, Christopher R. Lees
  • Image processing system including training model based upon iteratively biased loss function and related methods
    Patent number: 11068748
    Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. The processor may be configured to operate a training model to identify a given feature from each of the training geospatial images, and to iteratively apply a bias factor to a loss function based upon a number of incorrectly identified pixels for the given feature. The bias factor may be reduced with each iteration.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: July 20, 2021
    Assignee: HARRIS GEOSPATIAL SOLUTIONS, INC.
    Inventors: Michael P. Deskevich, Robert A. Simon, Christopher R. Lees
  • Image processing system including training model based upon iterative blurring of geospatial images and related methods
    Patent number: 10984507
    Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. The processor may be configured to blur each of the training geospatial images. The processor may also be configured to iteratively operate a training model to identify a given feature from each of the blurred training geospatial images so that the blurring is reduced with each iteration.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: April 20, 2021
    Assignee: HARRIS GEOSPATIAL SOLUTIONS, INC.
    Inventors: Michael P. Deskevich, Robert A. Simon, Christopher R. Lees
  • IMAGE PROCESSING SYSTEM INCLUDING TRAINING MODEL BASED UPON ITERATIVELY BIASED LOSS FUNCTION AND RELATED METHODS
    Publication number: 20210019571
    Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. The processor may be configured to operate a training model to identify a given feature from each of the training geospatial images, and to iteratively apply a bias factor to a loss function based upon a number of incorrectly identified pixels for the given feature. The bias factor may be reduced with each iteration.
    Type: Application
    Filed: July 17, 2019
    Publication date: January 21, 2021
    Inventors: Michael P. DESKEVICH, Robert A. Simon, Christopher R. Lees
  • IMAGE PROCESSING SYSTEM INCLUDING ITERATIVELY BIASED TRAINING MODEL PROBABILITY DISTRIBUTION FUNCTION AND RELATED METHODS
    Publication number: 20210019494
    Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. Each training geospatial image may include pixels. The processor may be configured to operate a training model to identify a given feature from each of the training geospatial images, and to iteratively generate a probability distribution function based upon a number of pixels corresponding to the given feature and also based upon a bias factor being reduced with each iteration.
    Type: Application
    Filed: July 17, 2019
    Publication date: January 21, 2021
    Inventors: Michael P. DESKEVICH, Robert A. SIMON, Christopher R. LEES
  • IMAGE PROCESSING SYSTEM INCLUDING TRAINING MODEL BASED UPON ITERATIVE BLURRING OF GEOSPATIAL IMAGES AND RELATED METHODS
    Publication number: 20210019864
    Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. The processor may be configured to blur each of the training geospatial images. The processor may also be configured to iteratively operate a training model to identify a given feature from each of the blurred training geospatial images so that the blurring is reduced with each iteration.
    Type: Application
    Filed: July 17, 2019
    Publication date: January 21, 2021
    Inventors: Michael P. DESKEVICH, Robert A. SIMON, Christopher R. LEES