Validation of the QUick atmospheric correction (QUAC) algorithm for VNIR-SWIR multi- and hyperspectral imagery

摘要: We describe a new visible-near infrared short-wavelength (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 aerosol or haze molecular absorbers. It determines compensation parameters directly from information contained within scene using observed pixel spectra. The approach is based on empirical finding spectral standard deviation collection diverse material spectra, such as endmember spectra in scene, essentially spectrally flat. allows reasonably accurate reflectance even when sensor does not have proper radiometric wavelength calibration, solar illumination intensity unknown. computational speed significantly faster than first-principles methods, making it potentially suitable real-time applications. method, unlike most prior require presence dark pixels. applied to atmospherically several AVIRIS data sets Landsat-7 set, well simulated HyMap wide variety conditions. Comparisons physics-based Fast Line-of-sight Analysis Spectral Hypercubes (FLAASH) code are presented.