Method for automatically identifying global solar photovoltaic (PV) panels based on cloud platform by using remote sensing
US11734923B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 20, 2023 |
| Grant date | Aug 22, 2023 |
| Priority date | — |
| Expiry date | Jan 20, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for automatically identifying global solar photovoltaic (PV) panels based on a cloud platform by using remote sensing. Optical images in a study area for a whole specific year are collected based on the cloud platform, and preprocessing is performed to obtain a surface reflectance image. Seven time-series images are derived and constructed based on spectral features of a solar PV panel: a solar PV panel index image, a water index image, a vegetation index image, a difference image between a first shortwave infrared band and a second shortwave infrared band, a difference image between the first shortwave infrared band and a near-infrared band, a blue band image, and a first shortwave infrared band image. Data in the seven time-series images are synthesized and reconstructed to obtain input data required by a model. A remote sensing theoretical model for automatically identifying a solar PV panel is constructed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.