A New Method for Atmospheric Correction and Aerosol Optical Property Retrieval for VIS-SWIR Multi- and Hyperspectral Imaging Sensors: QUAC (QUick Atmospheric Correction)

We describe a new VNIR-SWIR atmospheric correction method for multi- and hyperspectral imagery, dubbed QUAC (QUick Atmospheric Correction) that also enables retrieval of the wavelength-dependent optical depth of the aerosol or haze and molecular absorbers. It determines the atmospheric compensation...

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Bibliographic Details
Main Authors: Bernstein, L S, Adler-Golden, S M, Sundberg, R L, Levine, R Y, Perkins, T C, Berk, A, Ratkowski, A J, Felde, G, Hoke, M L
Format: Report
Language:English
Subjects:
ALGORITHMS
ATMOSPHERIC CHEMISTRY
ATMOSPHERIC COMPENSATION PARAMETERS
Atmospheric Physics
ATMOSPHERIC REFRACTION
Cartography and Aerial Photography
Cybernetics
FOREIGN REPORTS
HUMIDITY
HYPERSPECTRAL IMAGERY
NEAR INFRARED RADIATION
Operations Research
PIXELS
QUAC(QUICK ATMOSPHERIC CORRECTION)
RADIANCE
SPECTRUM ANALYSIS
SWIR(SHORTWAVE INFRARED)
SYMPOSIA
VNIR(VISIBLE NEAR INRARED)
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Description
Summary:We describe a new VNIR-SWIR atmospheric correction method for multi- and hyperspectral imagery, dubbed QUAC (QUick Atmospheric Correction) that also enables retrieval of the wavelength-dependent optical depth of the aerosol or haze and molecular absorbers. It determines the atmospheric compensation parameters directly from the information contained within the scene using the observed pixel spectra. The approach is based on the empirical finding that the spectral standard deviation of a collection of diverse material spectra, such as the endmember spectra in a scene, is essentially spectrally flat. It allows the retrieval of reasonably accurate reflectance spectra even when the sensor does not have a proper radiometric or wavelength calibration, or when the solar illumination intensity is unknown. The computational speed of the atmospheric correction method is significantly faster than for the first-principles methods, making it potentially suitable for realtime applications. The aerosol optical depth retrieval method, unlike most prior methods, does not require the presence of dark pixels. In this paper, QUAC is applied to atmospherically correction several AVIRIS data sets. Comparisons to the physics-based FLAASH code are also presented. Presented at the IEEE International Geoscience and Remote Sensing Symposium (25th) (IGARSS 2005) held 25-29 Jul 2005 in Seoul, Korea. Published in the 2005 IEEE International Geoscience and Remote Sensing Symposium Proceedings; see also ADM001850. The original document contains color images.