Unsupervised spatio-temporal data mining framework for burned area mapping
US9478038B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2015 |
| Grant date | Oct 25, 2016 |
| Priority date | — |
| Expiry date | Mar 30, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30181
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method reduces processing time required to identify locations burned by fire by receiving a feature value for each pixel in an image, each pixel representing a sub-area of a location. Pixels are then grouped based on similarities of the feature values to form candidate burn events. For each candidate burn event, a probability that the candidate burn event is a true burn event is determined based on at least one further feature value for each pixel in the candidate burn event. Candidate burn events that have a probability below a threshold are removed from further consideration as burn events to produce a set of remaining candidate burn events.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.