Paper
5 January 2005 An alternative approach to the channel selection problem for the infrared multichannel spectral data using hypothetical channel system
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Proceedings Volume 5658, Applications with Weather Satellites II; (2005) https://doi.org/10.1117/12.577962
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States
Abstract
A method has recently been shown by Aoki to compress the number of channels of vertical atmospheric sounder preserving almost all the information content that the original data has. In this method the weighting function of the original channels is decomposed with empirical orthogonal functions (EOFs) and a system of hypothetical radiances, whose weighting functions are the EOFs, are constructed and used for the analysis. It has been shown that the radiance data of 1200 of original channels, which is obtained from the region 640-760 cm-1, can be compressed to 23 or less channels of hypothetical radiances with loosing negligible information content. In the present paper, the studies were performed on the a) the relation between the number of the EOFs that is required to reconstruct the weighting functions in sufficient accuracy and the spectral resolution, b) the dependence of the correlation between "measurement error" of hypothetical channels on the range of zenith angle of sample data of weighting function, from which the EOFs are generated, and c) the dependence of the information content on the spectral resolutions 0.1, 0.35 and 0.6 cm-1.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tadao Aoki "An alternative approach to the channel selection problem for the infrared multichannel spectral data using hypothetical channel system", Proc. SPIE 5658, Applications with Weather Satellites II, (5 January 2005); https://doi.org/10.1117/12.577962
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KEYWORDS
Spectral resolution

Infrared radiation

Error analysis

Satellites

Thermography

Aerosols

Atmospheric sensing

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