In-Scene-Based Atmospheric Correction of Uncalibrated VISible-SWIR (VIS-SWIR) Hyper- and Multispectral Imagery

The QUAC (Quick Atmospheric Correction) algorithm for in-scene-based atmospheric correction of VIS-SWIR (VISible-Short Wave InfraRed) Multi- and Hyperspectral Imagery (MSI and HSI) is reviewed and applied to radiometrically uncalibrated data. Quite good agreement was previously demonstrated for the...

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Bibliographic Details
Main Authors: Bernstein, L S, Adler-Golden, S M, Sundberg, R L, Ratkowski, A J
Format: Report
Language:English
Subjects:
ALGORITHMS
ATMOSPHERIC ATTENUATION
Atmospheric Physics
Computer Programming and Software
Electricity and Magnetism
ERROR CORRECTION CODES
FLAASH(FAST LINE OF SIGHT ATMOSPHERIC ANALYSIS OF SPECTRAL HYPERCUBES)
HSI(HYPERSPECTRAL IMAGERY)
HYPERCUBES
HYPERSPECTRAL IMAGERY
Miscellaneous Detection and Detectors
MSI(MULTISPECTRAL IMAGERY)
MULTISPECTRAL
QUAC(QUICK ATMOSPHERIC CORRECTION)
REFLECTANCE
SBIR REPORTS
SBIR TOPIC AF04-015 PHASE 2
SBIR(SMALL BUSINESS INNOVATION RESEARCH)
SIGNAL PROCESSING
SYMPOSIA
VIS-SWIR(VISIBLE SHORT WAVE INFRARED)
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Summary:The QUAC (Quick Atmospheric Correction) algorithm for in-scene-based atmospheric correction of VIS-SWIR (VISible-Short Wave InfraRed) Multi- and Hyperspectral Imagery (MSI and HSI) is reviewed and applied to radiometrically uncalibrated data. Quite good agreement was previously demonstrated for the retrieved pixel spectral reflectances between QUAC and the physics-based atmospheric correction code FLAASH (Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes) for a variety of HSI and MSI data cubes. In these code-to-code comparisons, all the data cubes were obtained with well-calibrated sensors. However, many sensors operate in an uncalibrated manner, precluding the use of physics-based codes to retrieve surface reflectance. The ability to retrieve absolute spectral reflectances from such sensors would significantly increase the utility of their data. We apply QUAC to calibrated and uncalibrated versions of the same Landsat MSI data cube, and demonstrate nearly identical retrieved spectral reflectances for the two data sets. Published in the Proceedings of SPIE Europe Security and Defense, Remote Sensing, v7107, 2008.