A sensitivity assessment of terrestrial identification in remote sensing
Authors: Alter-Gartenberg R.; Nolf S. R.; Davis R. E.
Source: International Journal of Remote Sensing, Volume 23, Number 5, 2002 , pp. 825-849(25)
Publisher: Taylor and Francis Ltd
Abstract:Correcting for atmospheric effects is an essential part of surface-reflectance recovery from radiance measurements. Model-based atmospheric correction techniques improve the accuracy of the 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 paper assesses the performance, robustness and sensitivity of Richter's atmospheric-correction technique as part of an end-to-end stochastic simulation of hyper-spectral acquisition, identification and classification.
Document Type: Research article
Publication date: 2002-03-25