0000000000714032

AUTHOR

Siri Jodha Singh Khalsa

showing 1 related works from this author

Improved Temperature and Emissivity Separation Algorithm for Multispectral and Hyperspectral Sensors

2017

The Temperature and Emissivity Separation (TES) algorithm was originally developed for the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). This paper focuses on improving the TES algorithm. The main modification is the replacement of the normalized emissivity module with a new module, which is based on the smoothing of spectral radiance signatures. Smoothing is performed by estimating emissivity using an optimized approximation of the relationship between brightness temperature and emissivity. The improved TES algorithm, which is called Optimized Smoothing for Temperature Emissivity Separation (OSTES), was first tested on simulated data from three different sensors, …

Materials science010504 meteorology & atmospheric sciencesMean kinetic temperaturebusiness.industryAstrophysics::High Energy Astrophysical PhenomenaMultispectral image0211 other engineering and technologiesHyperspectral imagingAstrophysics::Cosmology and Extragalactic Astrophysics02 engineering and technology01 natural sciencesAdvanced Spaceborne Thermal Emission and Reflection RadiometerOpticsBrightness temperatureRadianceEmissivityGeneral Earth and Planetary SciencesElectrical and Electronic EngineeringbusinessAstrophysics::Galaxy AstrophysicsSmoothing021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIEEE Transactions on Geoscience and Remote Sensing
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