Patents by Inventor Matthew Dunseth Wood

Matthew Dunseth Wood 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).

  • Object measurement using deep learning analysis of synthetic aperture radar backscatter signatures
    Patent number: 11656353
    Abstract: A system is configured to receive synthetic aperture radar (SAR) backscatter signatures of a geographical area including the object of interest from a SAR device. The system also extracts feature vectors from the SAR backscatter signature based on the intensity values of the SAR backscatter signature. The system inputs the one or more feature vectors into a neural network model. The system receives, as output from the neural network model, coordinate values indicating one or more visual features of the object of interest. Using these coordinate values, the system determines one or more measurements of the object of interest.
    Type: Grant
    Filed: October 10, 2019
    Date of Patent: May 23, 2023
    Assignee: Orbital Insight, Inc.
    Inventors: Xin Li, Matthew Dunseth Wood
  • OBJECT MEASUREMENT USING DEEP LEARNING ANALYSIS OF SYNTHETIC APERTURE RADAR BACKSCATTER SIGNATURES
    Publication number: 20210109209
    Abstract: A system is configured to receive synthetic aperture radar (SAR) backscatter signatures of a geographical area including the object of interest from a SAR device. The system also extracts feature vectors from the SAR backscatter signature based on the intensity values of the SAR backscatter signature. The system inputs the one or more feature vectors into a neural network model. The system receives, as output from the neural network model, coordinate values indicating one or more visual features of the object of interest. Using these coordinate values, the system determines one or more measurements of the object of interest.
    Type: Application
    Filed: October 10, 2019
    Publication date: April 15, 2021
    Inventors: Xin Li, Matthew Dunseth Wood