Method to analyze remotely sensed spectral data
US7491944B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 25, 2006 |
| Grant date | Feb 17, 2009 |
| Priority date | — |
| Expiry date | Mar 12, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2021/3531
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A fast and rigorous multivariate curve resolution (MCR) algorithm is applied to remotely sensed spectral data. The algorithm is applicable in the solar-reflective spectral region, comprising the visible to the shortwave infrared (ranging from approximately 0.4 to 2.5 μm), midwave infrared, and thermal emission spectral region, comprising the thermal infrared (ranging from approximately 8 to 15 μm). For example, employing minimal a priori knowledge, notably non-negativity constraints on the extracted endmember profiles and a constant abundance constraint for the atmospheric upwelling component, MCR can be used to successfully compensate thermal infrared hyperspectral images for atmospheric upwelling and, thereby, transmittance effects. Further, MCR can accurately estimate the relative spectral absorption coefficients and thermal contrast distribution of a gas plume component near the minimum detectable quantity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.