Patents Assigned to DigitalGlobe, Inc.
  • Patent number: 10832390
    Abstract: Techniques for atmospheric compensation in satellite imagery that include converting an image including an array of radiance values to an array of surface reflectance values. The conversion is performed in an automated fashion by identifying one or more portions of the image for which the surface reflectance can be estimated and determining the Aerosol Optical Depth (AOD) by iteratively comparing the radiance value captured by the image sensor to a calculated radiance value (based on the known surface reflectance, historical values for other atmospheric parameters, and the AOD) and adjusting the AOD until the calculated radiance value is substantially the same as the captured radiance value.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: November 10, 2020
    Assignee: DigitalGlobe, Inc.
    Inventor: Fabio Pacifici
  • Patent number: 10803310
    Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.
    Type: Grant
    Filed: August 6, 2019
    Date of Patent: October 13, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventors: Adam Estrada, Kevin Green, Andrew Jenkins
  • Patent number: 10789469
    Abstract: A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: September 29, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventors: Jacek Grodecki, Seth Malitz, Josh Nolting
  • Patent number: 10733759
    Abstract: A system for automated geospatial image analysis comprising a deep learning model that receives orthorectified geospatial images, pre-labeled to demarcate objects of interest. The module presents marked geospatial images and a second set of unmarked, optimized, training geospatial images to a convolutional neural network. This process may be repeated so that an image analysis software module can detect multiple object types or categories. The image analysis software module receives orthorectified geospatial images from one or more geospatial image caches. Using a multi-scale sliding window submodule, image analysis software scans geospatial images, detects objects present and geospatially locates them.
    Type: Grant
    Filed: August 27, 2019
    Date of Patent: August 4, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventors: Adam Estrada, Andrew Jenkins, Benjamin Brock, Chris Mangold
  • Patent number: 10691942
    Abstract: A system and methods for unsupervised land use and land cover detection using a classifier that produces a plurality of class image layers which are filtered to remove misclassified same-label pixel groupings, a class resolution module that reduces multiple pixel labels to a single one if applicable and a reconstruction module that generates the output land use and land cover image.
    Type: Grant
    Filed: November 14, 2017
    Date of Patent: June 23, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventor: Georgios Ouzounis
  • Patent number: 10685253
    Abstract: Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a Neural Network, making an initial determination of cloud or ground by using the Neural Network, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery.
    Type: Grant
    Filed: September 24, 2018
    Date of Patent: June 16, 2020
    Assignee: DigitalGlobe, Inc.
    Inventor: Michael Aschenbeck
  • Patent number: 10679055
    Abstract: A system and methods for radiometric anomaly detection using non-target clustering, wherein a hierarchy generator organizes the image information content into a hierarchical data representation structure, and a non-target clustering engine processes the hierarchical model to identify large homogeneous regions and significantly dissimilar smaller regions within them based on search criteria.
    Type: Grant
    Filed: November 3, 2017
    Date of Patent: June 9, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventors: Georgios Ouzounis, Kostas Stamatiou
  • Patent number: 10636169
    Abstract: A system for broad area geospatial object recognition, identification, classification, location and quantification, comprising an image manipulation module to create synthetically-generated images to imitate and augment an existing quantity of orthorectified geospatial images; together with a deep learning module and a convolutional neural network serving as an image analysis module, to analyze a large corpus of orthorectified geospatial images, identify and demarcate a searched object of interest from within the corpus, locate and quantify the identified or classified objects from the corpus of geospatial imagery available to the system. The system reports results in a requestor's preferred format.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: April 28, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventors: Adam Estrada, Christopher Burd, Andrew Jenkins, Joseph Newbrough, Scott Szoko, Melanie Vinton
  • Patent number: 10577131
    Abstract: Techniques for improving the quality of images captured by a remote sensing overhead platform such as a satellite. Sensor shifting is employed in an open-loop fashion to compensate for relative motion of the remote sensing overhead platform to the Earth. Control signals are generated for the sensor shift mechanism by an orbital motion compensation calculation that uses the predicted ephemeris (including orbit dynamics) and image geometry (overhead platform to target). Optionally, the calculation may use attitude and rate errors that are determined from on-board sensors.
    Type: Grant
    Filed: November 29, 2017
    Date of Patent: March 3, 2020
    Assignee: DIGITALGLOBE, INC.
    Inventor: Victor Solanyk
  • Patent number: 10515272
    Abstract: A system and methods for muddy water detection using normalized semantic layers, wherein a spectrum analyzer isolates spectrum bands within an image to produce a set of three normalized differential index images from which a composite color image is created, from which a power band is computed, from which a two-color image is produced, and then filters image components within the two-color representation based on defined criteria.
    Type: Grant
    Filed: September 1, 2017
    Date of Patent: December 24, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Georgios Ouzounis, Kostas Stamatiou
  • Patent number: 10503975
    Abstract: A system for incorporating geographical data into a map-related system, adding objects being tracked while moving within a specific geographic area and automatically analyzing their movement characteristics; wherein the tracking is done by visual means from a sky-borne platform.
    Type: Grant
    Filed: October 2, 2018
    Date of Patent: December 10, 2019
    Assignee: DIGITALGLOBE, INC.
    Inventor: Ken Campbell
  • Patent number: 10482122
    Abstract: A system for modular image mining and search, comprising a plurality of image capture devices, a search engine, an indexing engine, a database, and user interface software. A plurality of image capture devices capture images and store them to a database. The indexing engine indexes images to create image data for each image with associated metadata and stores the information to the database. The interface software is used to request search queries via a search engine. The search engine accesses the image data to find images or parts of images that satisfy the search query.
    Type: Grant
    Filed: December 27, 2016
    Date of Patent: November 19, 2019
    Assignee: DigitalGlobe, Inc.
    Inventor: Carsten Tusk
  • Patent number: 10474895
    Abstract: A system for automated mosaic-based vector editing comprising a mosaic imaging server that assembles image tiles to form larger image mosaics while correcting the image tiles for tonality and other visual characteristics, a vector analysis server that analyzes vector information, a routing calculation server that calculates routes from the vector information, and a rendering engine that produces visualizations from the routing information, and a method for image mosaic creation and correction.
    Type: Grant
    Filed: November 6, 2018
    Date of Patent: November 12, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Matthew Tang, John Thiel, David Neckels
  • Patent number: 10395388
    Abstract: A system for automated geospatial image analysis comprising a deep learning model that receives orthorectified geospatial images, pre-labeled to demarcate objects of interest. The module presents marked geospatial images and a second set of unmarked, optimized, training geospatial images to a convolutional neural network. This process may be repeated so that an image analysis software module can detect multiple object types or categories. The image analysis software module receives orthorectified geospatial images from one or more geospatial image caches. Using a multi-scale sliding window submodule, image analysis software scans geospatial images, detects objects present and geospatially locates them.
    Type: Grant
    Filed: July 3, 2018
    Date of Patent: August 27, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Adam Estrada, Andrew Jenkins, Benjamin Brock, Chris Mangold
  • Patent number: 10372984
    Abstract: A system and various methods for processing an image to produce a hierarchical image representation model, segment the image model using shape criteria to produce positive and negative training data sets as well as a search-space data set comprising shapes matched to a search query provided as input, and using the training data sets to train a machine learning model to improve recognition of shapes that are similar to an input query without being exact matches, to improve object recognition.
    Type: Grant
    Filed: November 2, 2017
    Date of Patent: August 6, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Georgios Ouzounis, Kostas Stamatiou, Nikki Aldeborgh
  • Patent number: 10372985
    Abstract: A system for simplified generation of systems for analysis of satellite images to geolocate one or more objects of interest. A plurality of training images labeled for a study object or objects with irrelevant features loaded into a preexisting feature identification subsystem causes automated generation of models for the study object. This model is used to parameterize pre-engineered machine learning elements that are running a preprogrammed machine learning protocol. Training images with the study are used to train object recognition filters. This filter is used to identify the study object in unanalyzed images. The system reports results in a requestor's preferred format.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: August 6, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Adam Estrada, Kevin Green, Andrew Jenkins
  • Patent number: 10346495
    Abstract: A system for large-scale crowd sourcing of map data cleanup and correction, comprising an application server that generates image data, sends image data to a user device, receives tagging data provided by the device user, and provides tags to a crowdsourced search and locate server based on tagging data from a user device, a crowdsourced search and locate server that receives tags from an application server, computes agreement and disagreement values and performs expectation-maximization analysis, and a map data server that stores and provides map data, and a method for estimating location and quality of a set of geolocation data.
    Type: Grant
    Filed: September 12, 2016
    Date of Patent: July 9, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Shay Har-Noy, Luke Barrington, Nathan Ricklin
  • Patent number: 10346952
    Abstract: A system for semi-automated feature extraction comprising an image analysis server that receives and initializes a plurality of raster images, a feature extraction server that identifies and extracts image features, a mosaic server that assembles mosaics from multiple images, and a rendering engine that provides visual representations of images for review by a human user, and a method for generating a cost raster utilizing the system of the invention.
    Type: Grant
    Filed: January 2, 2018
    Date of Patent: July 9, 2019
    Assignee: DigitalGlobe, Inc.
    Inventor: Seth Malitz
  • Patent number: 10318808
    Abstract: A system for vector extraction comprising a vector extraction engine stored and operating on a network-connected computing device that loads raster images from a database stored and operating on a network-connected computing device, identifies features in the raster images, and computes a vector based on the features, and methods for feature and vector extraction.
    Type: Grant
    Filed: August 8, 2017
    Date of Patent: June 11, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Jacek Grodecki, Seth Malitz, Josh Nolting
  • Patent number: 10311557
    Abstract: A system for automated tonal balancing, comprising a rectification server that groups and processes images for use in tone-matching and provides them to a tone-matching server, that then performs tone-matching operations on the images and provides them as output for review or storage, and methods for tonal balancing using the system of the invention.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: June 4, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Nathan Reid Swanson, Patrick Young, Spencer Stirling