Synthesizing training data for broad area geospatial object detection
US9767565B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 27, 2016 |
| Grant date | Sep 19, 2017 |
| Priority date | — |
| Expiry date | Jun 27, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.