Identification of Terrestrial Reflectance From Remote Sensing
نویسندگان
چکیده
Correcting for atmospheric e ects is an essential part of surface-re ectance recovery from radiance measurements. Model-based atmospheric correction techniques improve the accuracy of the identi cation and classi cation of terrestrial re ectances from multi-spectral imagery. Successful and e cient removal of atmospheric e ects 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 re ectance-recovery techniques as part of an end-to-end simulation of hyper-spectral acquisition, identi cation and classi cation.
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