Predicting tree species from aerial imagery
US9704042B2 · kind B2 · utility
3Cited by
1References
11Claims
0Family size
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Key dates
| Filing date | Jun 22, 2011 |
| Grant date | Jul 11, 2017 |
| Priority date | — |
| Expiry date | Jun 17, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/763
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments determine the species of trees present in an aerial image. Tree crowns are detected in a received image, and represented as histograms of their color, texture and entropy features. Similar trees are clustered together. Using classification techniques, each cluster is assigned the closest species. The species information for each tree may be used in a rendering of the tree in geographical information systems.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.