Identification of Terrestrial Reflectance from Remote Sensing
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Correcting for atmospheric effects is an essential part of surface-reflectance recovery from radiance measurements. Model-based atmospheric correction techniques enable an accurate identification and classification of terrestrial reflectances from multi-spectral imagery. Successful and efficient removal of atmospheric effects from remote-sensing data is a key factor in the success of Earth observa
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Correcting for atmospheric effects is an essential part of surface-reflectance recovery from radiance measurements. Model-based atmospheric correction techniques enable an accurate identification and classification of terrestrial reflectances from multi-spectral imagery. Successful and efficient removal of atmospheric effects from remote-sensing data is a key factor in the success of Earth observation missions. This report assesses the performance, robustness and sensitivity of two atmospheric-correction and reflectance-recovery techniques as part of an end-to-end simulation of hyper-spectral acquisition, identification and classification.Alter-Gartenberg, Rachel and Nolf, Scott R. and Stacy, Kathryn (Technical Monitor)Langley Research CenterATMOSPHERIC CORRECTION; EARTH OBSERVATIONS (FROM SPACE); REMOTE SENSING; IMAGERY; ATMOSPHERIC EFFECTS; SPECTRAL REFLECTANCE; ATMOSPHERIC ATTENUATION; ROBUSTNESS (MATHEMATICS); SURFACE PROPERTIES; IMAGE PROCESSING; SPATIAL RESOLUTION; HEURISTIC METHODS; IMAGING TECHNIQUES; RADIANCE...
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