In-Scene Atmospheric Compensation of Thermal Hyperspectral Imaging With Applications to Simultaneous Shortwave Data Collection
Abstract
Compensating for the effects of the Earth's atmosphere is necessary to analyze hyperspectral remote sensing data of the Earth's surface. A new algorithm, the Combined Hyperspectral Atmospheric Effects Removal Method (CHAERM) is designed to provide in-scene atmospheric compensation of L WIR hyperspectral imagery with a priority on expediency suitable for operational contexts. CHAERM's methodology consists of a high-emissivity material screen, followed by a new method of decoupling the effects of continuum absorption and line absorption in the radiative transfer of the atmosphere. Spectral similarity is calculated in a way that allows rapid matching to a large meteorologically consistent database, the Global Atmospheric Profiles from Reanalysis Information (GAPRI) dataset, containing 4,846 realistic atmospheric states. Additionally, the GAPRI database has been modified to account of surface elevation variability and different aerosol loading based on geography. CHAERM's capabilities are demonstrated using simulated hyperspectral datasets and show promising results. RMS residuals in retrievals of transmission and path radiance spectra have been shown to be consistently at or below 10 of the mean value in the band.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 21, 2017
- Accession Number
- AD1055591
Entities
People
- Cory T. Lane
Organizations
- Air Force Institute of Technology