An unmixing approach to the atmospheric corrections of HypSEO hyperspectral data
M Mochi, A Bartoloni, MF Buongiorno… - … and Remote Sensing …, 2002 - ieeexplore.ieee.org
M Mochi, A Bartoloni, MF Buongiorno, A Canestro, P Colandrea, PG Esposito, M Musacchio…
IEEE International Geoscience and Remote Sensing Symposium, 2002•ieeexplore.ieee.orgThe algorithm described in this paper approaches the atmospheric correction of
hyperspectral data as a spectral unmixing problem, minimizing the need of a priori
information on atmospheric conditions and maximizing the advantage of hyperspectral data.
The proposed method is foreseen to be used for the processing of the HypSEO mission
data, an Italian Space Agency future mission aimed to the demonstration of the spaceborne
hyperspectral sensor technology and data exploitation.
hyperspectral data as a spectral unmixing problem, minimizing the need of a priori
information on atmospheric conditions and maximizing the advantage of hyperspectral data.
The proposed method is foreseen to be used for the processing of the HypSEO mission
data, an Italian Space Agency future mission aimed to the demonstration of the spaceborne
hyperspectral sensor technology and data exploitation.
The algorithm described in this paper approaches the atmospheric correction of hyperspectral data as a spectral unmixing problem, minimizing the need of a priori information on atmospheric conditions and maximizing the advantage of hyperspectral data. The proposed method is foreseen to be used for the processing of the HypSEO mission data, an Italian Space Agency future mission aimed to the demonstration of the spaceborne hyperspectral sensor technology and data exploitation.
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