Method and system for detecting anomalies in multispectral and hyperspectral imagery employing the normal compositional model
US7194132B1 · kind B1 · utility
2Cited by
2References
6Claims
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Key dates
| Filing date | Jun 4, 2003 |
| Grant date | Mar 20, 2007 |
| Priority date | — |
| Expiry date | Aug 2, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting anomalies from multidimensional data comprises: a) receiving multidimensional data; b) estimating background parameters of a normal compositional model from the multidimensional data; c) estimating abundance values of the normal compositional model from the background parameters and the multidimensional data; d) determining an anomaly detection statistic from the multidimensional data, the background parameters, and abundance values; and e) classifying an observation from the multidimensional data as either a background reference or an anomaly from the anomaly detection statistic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.