Automated mapping of land cover using sequences of aerial imagery
US8958603B2 · kind B2 · utility
9Cited by
1References
19Claims
0Family size
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Key dates
| Filing date | Mar 15, 2013 |
| Grant date | Feb 17, 2015 |
| Priority date | — |
| Expiry date | Aug 7, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system has an aerial image database containing sensor data representing a plurality of aerial images of an area having multiple sub-areas. A processor applies a classifier to the sensor values to identify a label for each sub-area in each aerial image and to thereby generate an initial label sequence for each sub-area. The processor identifies a most likely land cover state for each sub-area based on the initial label sequence, a confusion matrix and a transition matrix. For each sub-area, the processor stores the most likely land cover state sequence for the sub-area.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.