Patents by Inventor Nicholas Grant Chidsey

Nicholas Grant Chidsey 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).

  • Systems and methods for extracting and vectorizing features of satellite imagery
    Patent number: 11830246
    Abstract: A system may be configured to collect geospatial features (in vector form) such that a software application is operable to edit an object represented by at least one vector. Some embodiments may: generate, via a trained machine learning model, a pixel map based on an aerial or satellite image; convert the pixel map into vector form; and store the vectors. This conversion may include a raster phase and a vector phase. A system may be configured to obtain another image, generate another pixel map based on the other image, convert the other pixel map into vector form, and compare the vectors to identify changes between the images. Some implementations may cause identification, based on a similarity with converted vectors, of a more trustworthy set of vectors for subsequent data source conflation.
    Type: Grant
    Filed: May 1, 2020
    Date of Patent: November 28, 2023
    Assignee: CACI, Inc.—Federal
    Inventors: Jacob A. Fleisig, Evan M. Colvin, Peter Storm Simonson, Nicholas Grant Chidsey
  • SYSTEMS AND METHODS FOR EXTRACTING AND VECTORIZING FEATURES OF SATELLITE IMAGERY
    Publication number: 20210342586
    Abstract: A system may be configured to collect geospatial features (in vector form) such that a software application is operable to edit an object represented by at least one vector. Some embodiments may: generate, via a trained machine learning model, a pixel map based on an aerial or satellite image; convert the pixel map into vector form; and store the vectors. This conversion may include a raster phase and a vector phase. A system may be configured to obtain another image, generate another pixel map based on the other image, convert the other pixel map into vector form, and compare the vectors to identify changes between the images. Some implementations may cause identification, based on a similarity with converted vectors, of a more trustworthy set of vectors for subsequent data source conflation.
    Type: Application
    Filed: May 28, 2020
    Publication date: November 4, 2021
    Inventors: Jacob A. Fleisig, Evan M. Colvin, Peter Storm Simonson, Nicholas Grant Chidsey
  • SYSTEMS AND METHODS FOR EXTRACTING AND VECTORIZING FEATURES OF SATELLITE IMAGERY
    Publication number: 20210342585
    Abstract: A system may be configured to collect geospatial features (in vector form) such that a software application is operable to edit an object represented by at least one vector. Some embodiments may: generate, via a trained machine learning model, a pixel map based on an aerial or satellite image; convert the pixel map into vector form; and store the vectors. This conversion may include a raster phase and a vector phase. A system may be configured to obtain another image, generate another pixel map based on the other image, convert the other pixel map into vector form, and compare the vectors to identify changes between the images. Some implementations may cause identification, based on a similarity with converted vectors, of a more trustworthy set of vectors for subsequent data source conflation.
    Type: Application
    Filed: May 1, 2020
    Publication date: November 4, 2021
    Inventors: Jacob A. Fleisig, Evan M. Colvin, Peter Storm Simonson, Nicholas Grant Chidsey