Closed-Form Method for Atmospheric Correction (CMAC) of Smallsat Data Using Scene Statistics
نویسندگان
چکیده
High-cadence Earth observation smallsat images offer potential for near real-time global reconnaissance of all sunlit cloud-free locations. However, these data must be corrected to remove light-transmission effects from variable atmospheric aerosol that degrade image interpretability. Although existing methods may work, they require ancillary delays output, impacting their most valuable applications: intelligence, surveillance, and reconnaissance. Closed-form Method Atmospheric Correction (CMAC) is based on observed brighten dark reflectance while darkening bright reflectance. Using only scene statistics in real-time, CMAC first maps across each image, then uses the resulting grayscale reverse deliver spatially correct surface pixel. was developed using European Space Agency’s Sentinel-2 imagery. After a rapid calibration customizes method imaging optical smallsat, can applied atmospherically visible through near-infrared bands. To assess functionality against user-applied state-of-the-art software, Sen2Cor, extensive tests were made correction performance under wide range multiple seven faster, with greater accuracy precision over more than twice Sen2Cor.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13106352