Patents Assigned to Cape Analytics, Inc.
  • Patent number: 10643072
    Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: May 5, 2020
    Assignee: Cape Analytics, Inc.
    Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli
  • Patent number: 10366288
    Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: July 30, 2019
    Assignee: CAPE ANALYTICS, INC.
    Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli
  • Patent number: 10311302
    Abstract: Disclosed systems and methods relate to remote sensing, deep learning, and object detection. Some embodiments relate to machine learning for object detection, which includes, for example, identifying a class of pixel in a target image and generating a label image based on a parameter set. Other embodiments relate to machine learning for geometry extraction, which includes, for example, determining heights of one or more regions in a target image and determining a geometric object property in a target image. Yet other embodiments relate to machine learning for alignment, which includes, for example, aligning images via direct or indirect estimation of transformation parameters.
    Type: Grant
    Filed: August 31, 2016
    Date of Patent: June 4, 2019
    Assignee: Cape Analytics, Inc.
    Inventors: Ryan Kottenstette, Peter Lorenzen, Suat Gedikli