Operational atmospheric correction for imaging spectrometers accounting for the smile effect
Richter, Rudolf and Schläpfer, Daniel and Müller, Andreas (2011) Operational atmospheric correction for imaging spectrometers accounting for the smile effect. IEEE Transactions on Geoscience and Remote Sensing, 49 (5), pp. 1772-1780. IEEE. DOI: 10.1109/TGRS.2010.2089799.
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Hyperspectral pushbroom imagers are affected by a number of artifacts, such as pixel-nonuniformity, spectral smile, and keystone. These have to be taken into account during system-correction, ortho-rectification, or atmospheric correction, as performed in processing and archiving facilities (PAFs). This contribution is presenting an efficient and accurate smile correction method integrated in the atmospheric correction. The proposed technique will be used in the PAF of the German hyperspectral EnMAP mission. The spectral smile shift across the detector array is parametrized with a 4th order polynomial function for each channel based on the instrument optical design model or measured laboratory data. Alternatively, spectral smile shifts can be calculated from image data using channels in atmospheric absorption regions. The concept for the time-optimized processor is outlined and results are presented for simulated EnMAP data and existing pushbroom imagery (Hyperion, AISA, Hyspex).
|Title:||Operational atmospheric correction for imaging spectrometers accounting for the smile effect|
|Date:||14 July 2011|
|Journal or Publication Title:||IEEE Transactions on Geoscience and Remote Sensing|
|In Open Access:||No|
|In ISI Web of Science:||Yes|
|Page Range:||pp. 1772-1780|
|Keywords:||EnMAP, pushbroom imaging spectrometer, smile, surface reflectance, water vapor|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|HGF - Program Themes:||W EO - Erdbeobachtung|
|DLR - Research area:||Space|
|DLR - Program:||W EO - Erdbeobachtung|
|DLR - Research theme (Project):||W - Vorhaben Anwendungen Erdbeobachtung - HGF-Kooperation EOS|
|Institutes and Institutions:||German Remote Sensing Data Center > Land Surface|
|Deposited By:||Dr.-Ing. Rudolf Richter|
|Deposited On:||14 Jul 2011 13:28|
|Last Modified:||22 Apr 2013 09:20|
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