Machine learning techniques for identifying clouds and cloud shadows in satellite imagery
US11256916B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 18, 2019 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Apr 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30188
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for identifying clouds and cloud shadows in satellite imagery are described herein. In an embodiment, a system receives a plurality of images of agronomic fields produced using one or more frequency bands. The system also receives corresponding data identifying cloud and cloud shadow locations in the images. The system trains a machine learning system to identify at least cloud locations using the images as inputs and at least data identifying pixels as cloud pixels or non-cloud pixels as outputs. When the system receives one or more particular images of a particular agronomic field produced using the one or more frequency bands, the system uses the one or more particular images as inputs into the machine learning system to identify a plurality of pixels in the one or more particular images as particular cloud locations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.