Automated computer system and method of road network extraction from remote sensing images using vehicle motion detection to seed spectral classification
US11941878B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 25, 2021 |
| Grant date | Mar 26, 2024 |
| Priority date | — |
| Expiry date | Apr 13, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/194
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A fully-automated computer-implemented system and method for generating a road network map from a remote sensing (RS) image in which the classification accuracy is satisfactory combines moving vehicle detection with spectral classification to overcome the limitations of each. Moving vehicle detections from an RS image are used as seeds to extract and characterize image-specific spectral roadway signatures from the same RS image. The RS image is then searched and the signatures matched against the scene to grow a road network map. The entire process can be performed using the radiance measurements of the scene without having to perform the complicated geometric and atmospheric conversions, thus improving computational efficiency, the accuracy of moving vehicle detection (location, speed, heading) and ultimately classification accuracy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.