Invention Grant
- Patent Title: System for simplified generation of systems for broad area geospatial object detection
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Application No.: US17069776Application Date: 2020-10-13
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Publication No.: US11462007B2Publication Date: 2022-10-04
- Inventor: Adam Estrada , Kevin Green , Andrew Jenkins
- Applicant: DigitalGlobe, Inc.
- Applicant Address: US CO Longmont
- Assignee: DigitalGlobe, Inc.
- Current Assignee: DigitalGlobe, Inc.
- Current Assignee Address: US CO Longmont
- Agency: Galvin Patent Law LLC
- Agent Brian R. Galvin
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06V20/13 ; G06K9/62 ; G06T7/73 ; G06N3/08 ; G06T15/50 ; G06T17/05 ; G06N3/04 ; G06V10/50 ; G06V20/10 ; G06T7/10 ; G06N5/00 ; G06N7/00 ; G06N20/20

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.
Public/Granted literature
- US20210027040A1 SYSTEM FOR SIMPLIFIED GENERATION OF SYSTEMS FOR BROAD AREA GEOSPATIAL OBJECT DETECTION Public/Granted day:2021-01-28
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