Systems and methods for automated detection of building footprints
US11836223B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 17, 2021 |
| Grant date | Dec 5, 2023 |
| Priority date | — |
| Expiry date | Feb 8, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/176
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosed computer-implemented method may include collecting a set of labels that label polygons within a training set of images as architectural structures. The method may also include creating a set of noisy labels with a predetermined degree of noise by distorting boundaries of a number of the polygons within the training set of images. Additionally, the method may include simultaneously training two neural networks by applying a co-teaching method to learn from the set of noisy labels. The method may also include extracting a preferential list of training data based on the two trained neural networks. Furthermore, the method may include training a machine learning model with the preferential list of training data. Finally, the method may include identifying one or more building footprints in a target image using the trained machine learning model. Various other methods, systems, and computer-readable media are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.