Image processing system including iteratively biased training model probability distribution function and related methods
US11417087B2 · kind B2 · utility
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24Claims
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Key dates
| Filing date | Jul 17, 2019 |
| Grant date | Aug 16, 2022 |
| Priority date | — |
| Expiry date | Apr 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. Each training geospatial image may include pixels. The processor may be configured to operate a training model to identify a given feature from each of the training geospatial images, and to iteratively generate a probability distribution function based upon a number of pixels corresponding to the given feature and also based upon a bias factor being reduced with each iteration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.