Method for extracting multi-scale target based on high-spatial-resolution
US12190591B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2022 |
| Grant date | Jan 7, 2025 |
| Priority date | — |
| Expiry date | Apr 22, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for extracting an oil storage tank based on a high-spatial-resolution remote sensing image is provided, including: acquiring an oil storage tank sample, and randomly dividing the oil storage tank sample into a training set and a testing set; building an oil storage tank extraction model based on a Res2-Unet model structure, wherein the Res2-Unet is a deep learning network based on a UNet semantic segmentation structure, and a Res2Net convolution block is configured to change a feature interlayer learning to a granular learning and is arranged in a residual mode; and performing a precision verification on the testing set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.